24.4.8 Bathymetric Mapping, Analysis, Underwater Terrain

Singh, H.[Hanumant], Whitcomb, L.[Louis], Yoerger, D.[Dana], Pizarro, O.[Oscar],
Microbathymetric Mapping from Underwater Vehicles in the Deep Ocean,
CVIU(79), No. 1, July 2000, pp. 143-161.
DOI Link 0006
BibRef

Johnson-Roberson, M., Pizarro, O., Williams, S.,
Saliency ranking for benthic survey using underwater images,
ICARCV10(459-466).
IEEE DOI 1109
BibRef

Provost, J.N., Collet, C., Rostaing, P., Pérez, P., Bouthemy, P.,
Hierarchical Markovian segmentation of multispectral images for the reconstruction of water depth maps,
CVIU(93), No. 2, February 2004, pp. 155-174.
Elsevier DOI 0402
Apply water depth model to each segmented region. BibRef

Provost, J.N., Collet, C., Perez, P., Bouthemy, P.,
A Hierarchical Unsupervised Multispectral Model to Segment SPOT Images for Ocean Cartography,
ICIP99(I:333-337).
IEEE DOI BibRef 9900

Adler-Golden, S.M., Acharya, P.K., Berk, A., Matthew, M.W., Gorodetzky, D.,
Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery,
GeoRS(43), No. 2, February 2005, pp. 337-347.
IEEE Abstract. 0501
BibRef

Hasan, R., Ierodiaconou, D., Monk, J.,
Evaluation of Four Supervised Learning Methods for Benthic Habitat Mapping Using Backscatter from Multi-Beam Sonar,
RS(4), No. 11, November 2012, pp. 3427-3443.
DOI Link 1211
BibRef

Weeks, S., Werdell, P., Schaffelke, B., Canto, M., Lee, Z., Wilding, J., Feldman, G.,
Satellite-Derived Photic Depth on the Great Barrier Reef: Spatio-Temporal Patterns of Water Clarity,
RS(4), No. 12, December 2012, pp. 3781-3795.
DOI Link 1211
BibRef

Galin, N., Wingham, D.J., Cullen, R., Fornari, M., Smith, W.H.F., Abdalla, S.,
Calibration of the CryoSat-2 Interferometer and Measurement of Across-Track Ocean Slope,
GeoRS(51), No. 1, January 2013, pp. 57-72.
IEEE DOI 1301
BibRef

Gholamalifard, M.[Mehdi], Kutser, T.[Tiit], Esmaili-Sari, A.[Abbas], Abkar, A.A.[Ali A.], Naimi, B.[Babak],
Remotely Sensed Empirical Modeling of Bathymetry in the Southeastern Caspian Sea,
RS(5), No. 6, 2013, pp. 2746-2762.
DOI Link 1307
BibRef

Churnside, J.H.[James H.], McCarty, B.J.[Brandi J.], Lu, X.M.[Xiao-Mei],
Subsurface Ocean Signals from an Orbiting Polarization Lidar,
RS(5), No. 7, 2013, pp. 3457-3475.
DOI Link 1308
BibRef

Cui, T.W.[Ting-Wei], Zhang, J.[Jie], Tang, J.[Junwu], Sathyendranath, S.[Shubha], Groom, S.[Steve], Ma, Y.[Yi], Zhao, W.[Wei], Song, Q.J.[Qing-Jun],
Assessment of satellite ocean color products of MERIS, MODIS and SeaWiFS along the East China Coast (in the Yellow Sea and East China Sea),
PandRS(87), No. 1, 2014, pp. 137-151.
Elsevier DOI 1402
Oceanography BibRef

Luhtala, H.[Hanna], Tolvanen, H.[Harri],
Optimizing the Use of Secchi Depth as a Proxy for Euphotic Depth in Coastal Waters: An Empirical Study from the Baltic Sea,
IJGI(2), No. 4, 2013, pp. 1153-1168.
DOI Link 1402
BibRef

Arsen, A.[Adalbert], Crétaux, J.F.[Jean-François], Berge-Nguyen, M.[Muriel], del Rio, R.A.[Rodrigo Abarca],
Remote Sensing-Derived Bathymetry of Lake Poopó,
RS(6), No. 1, 2013, pp. 407-420.
DOI Link 1402
BibRef

Su, H.B.[Hai-Bin], Liu, H.X.[Hong-Xing], Wang, L.[Lei], Filippi, A.M., Heyman, W.D., Beck, R.A.,
Geographically Adaptive Inversion Model for Improving Bathymetric Retrieval From Satellite Multispectral Imagery,
GeoRS(52), No. 1, January 2014, pp. 465-476.
IEEE DOI 1402
bathymetry BibRef

Curtarelli, M.[Marcelo], Leão, J.[Joaquim], Ogashawara, I.[Igor], Lorenzzetti, J.[João], Stech, J.[José],
Assessment of Spatial Interpolation Methods to Map the Bathymetry of an Amazonian Hydroelectric Reservoir to Aid in Decision Making for Water Management,
IJGI(4), No. 1, 2015, pp. 220-235.
DOI Link 1502
BibRef

Wang, C.S.[Chi-Sheng], Li, Q.Q.[Qing-Quan], Liu, Y.X.[Yan-Xiong], Wu, G.F.[Guo-Feng], Liu, P.[Peng], Ding, X.L.[Xiao-Li],
A comparison of waveform processing algorithms for single-wavelength LiDAR bathymetry,
PandRS(101), No. 1, 2015, pp. 22-35.
Elsevier DOI 1503
Single-wavelength BibRef

Mandlburger, G.[Gottfried], Hauer, C.[Christoph], Wieser, M.[Martin], Pfeifer, N.[Norbert],
Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats: A Case Study at the Pielach River,
RS(7), No. 5, 2015, pp. 6160-6195.
DOI Link 1506
BibRef

Chen, C.[Chao], Zare, A.[Alina], Cobb, J.T.[J. Tory],
Sand Ripple Characterization Using an Extended Synthetic Aperture Sonar Model and Parallel Sampling Method,
GeoRS(53), No. 10, October 2015, pp. 5547-5559.
IEEE DOI 1509
Bayes methods BibRef

Chen, C.[Chao], Zare, A.[Alina], Trinh, H.N., Omotara, G.O., Cobb, J.T.[J. Tory], Lagaunne, T.A.,
Partial Membership Latent Dirichlet Allocation for Soft Image Segmentation,
IP(26), No. 12, December 2017, pp. 5590-5602.
IEEE DOI 1710
BibRef
Earlier: A1, A2, A5, Only:
Partial membership latent Dirichlet allocation for image segmentation,
ICPR16(2368-2373)
IEEE DOI 1705
For regions where the boundary is not clear. Bayes methods, Data models, Image segmentation, Resource management, Semantics, Synthetic aperture sonar, Visualization BibRef

Lenhard, K., Baumgartner, A., Gege, P., Nevas, S., Nowy, S., Sperling, A.,
Impact of Improved Calibration of a NEO HySpex VNIR-1600 Sensor on Remote Sensing of Water Depth,
GeoRS(53), No. 11, November 2015, pp. 6085-6098.
IEEE DOI 1509
bathymetry BibRef

Landmark, K., Solberg, A.H.S.[A.H. Schistad], Albregtsen, F., Austeng, A., Hansen, R.E.,
A Radon-Transform-Based Image Noise Filter: With Applications to Multibeam Bathymetry,
GeoRS(53), No. 11, November 2015, pp. 6252-6273.
IEEE DOI 1509
Radon transforms BibRef

Kumpumäki, T.[Teemu], Ruusuvuori, P.[Pekka], Kangasniemi, V.[Ville], Lipping, T.[Tarmo],
Data-Driven Approach to Benthic Cover Type Classification Using Bathymetric LiDAR Waveform Analysis,
RS(7), No. 10, 2015, pp. 13390.
DOI Link 1511
BibRef

Monteys, X.[Xavier], Harris, P.[Paul], Caloca, S.[Silvia], Cahalane, C.[Conor],
Spatial Prediction of Coastal Bathymetry Based on Multispectral Satellite Imagery and Multibeam Data,
RS(7), No. 10, 2015, pp. 13782.
DOI Link 1511
BibRef

Hou, Z.Y.[Zheng-Yu], Guo, C.S.[Chang-Sheng], Wang, J.Q.[Jing-Qiang], Chen, W.J.[Wen-Jing], Fu, Y.[Yongtao], Li, T.G.[Tie-Gang],
Seafloor Sediment Study from South China Sea: Acoustic & Physical Property Relationship,
RS(7), No. 9, 2015, pp. 11570.
DOI Link 1511
BibRef

Garcia, R.A.[Rodrigo A.], Hedley, J.D.[John D.], Tin, H.C.[Hoang C.], Fearns, P.R.C.S.[Peter R. C. S.],
A Method to Analyze the Potential of Optical Remote Sensing for Benthic Habitat Mapping,
RS(7), No. 10, 2015, pp. 13157.
DOI Link 1511
BibRef

Hamylton, S.M.[Sarah M.], Hedley, J.D.[John D.], Beaman, R.J.[Robin J.],
Derivation of High-Resolution Bathymetry from Multispectral Satellite Imagery: A Comparison of Empirical and Optimisation Methods through Geographical Error Analysis,
RS(7), No. 12, 2015, pp. 15829.
DOI Link 1601
BibRef

Long, N.[Nathalie], Millescamps, B.[Bastien], Guillot, B.[Benoît], Pouget, F.[Frédéric], Bertin, X.[Xavier],
Monitoring the Topography of a Dynamic Tidal Inlet Using UAV Imagery,
RS(8), No. 5, 2016, pp. 387.
DOI Link 1606
BibRef

Botha, E.J.[Elizabeth J.], Brando, V.E.[Vittorio E.], Dekker, A.G.[Arnold G.],
Effects of Per-Pixel Variability on Uncertainties in Bathymetric Retrievals from High-Resolution Satellite Images,
RS(8), No. 6, 2016, pp. 459.
DOI Link 1608
BibRef

Forfinski-Sarkozi, N.A.[Nicholas A.], Parrish, C.E.[Christopher E.],
Analysis of MABEL Bathymetry in Keweenaw Bay and Implications for ICESat-2 ATLAS,
RS(8), No. 9, 2016, pp. 772.
DOI Link 1610
BibRef

Halls, J.[Joanne], Costin, K.[Kaitlyn],
Submerged and Emergent Land Cover and Bathymetric Mapping of Estuarine Habitats Using WorldView-2 and LiDAR Imagery,
RS(8), No. 9, 2016, pp. 718.
DOI Link 1610
BibRef

Mastrogiuseppe, M.[Marco], Hayes, A., Poggiali, V., Seu, R., Lunine, J.I.[Jonathan I.], Hofgartner, J.D.,
Radar Sounding Using the Cassini Altimeter: Waveform Modeling and Monte Carlo Approach for Data Inversion of Observations of Titan's Seas,
GeoRS(54), No. 10, October 2016, pp. 5646-5656.
IEEE DOI 1610
Monte Carlo methods. Depth of hydrocarbon seas on Titan. BibRef

Rutten, J., de Jong, S.M., Ruessink, G.,
Accuracy of Nearshore Bathymetry Inverted From X -Band Radar and Optical Video Data,
GeoRS(55), No. 2, February 2017, pp. 1106-1116.
IEEE DOI 1702
Fourier transforms BibRef

Catalão, J., Nico, G.,
Multitemporal Backscattering Logistic Analysis for Intertidal Bathymetry,
GeoRS(55), No. 2, February 2017, pp. 1066-1073.
IEEE DOI 1702
bathymetry BibRef

Poliyapram, V.[Vinayaraj], Raghavan, V.[Venkatesh], Metz, M.[Markus], Delucchi, L.[Luca], Masumoto, S.J.[Shin-Ji],
Implementation of Algorithm for Satellite-Derived Bathymetry using Open Source GIS and Evaluation for Tsunami Simulation,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Bian, X.L.[Xiao-Lin], Shao, Y.[Yun], Tian, W.[Wei], Wang, S.[Shiang], Zhang, C.Y.[Chun-Yan], Wang, X.C.[Xiao-Chen], Zhang, Z.X.[Zhi-Xin],
Underwater Topography Detection in Coastal Areas Using Fully Polarimetric SAR Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhao, J.H.[Jian-Hu], Yan, J.[Jun], Zhang, H.M.[Hong-Mei], Meng, J.X.[Jun-Xia],
A New Radiometric Correction Method for Side-Scan Sonar Images in Consideration of Seabed Sediment Variation,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhao, J.H.[Jian-Hu], Meng, J.X.[Jun-Xia], Zhang, H.M.[Hong-Mei], Yan, J.[Jun],
A New Method for Acquisition of High-Resolution Seabed Topography by Matching Seabed Classification Images,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zhao, J.H.[Jian-Hu], Zhao, X.L.[Xing-Lei], Zhang, H.M.[Hong-Mei], Zhou, F.N.[Feng-Nian],
Improved Model for Depth Bias Correction in Airborne LiDAR Bathymetry Systems,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Chen, Y.Y.[Ying-Ying], Yu, K.[Kai], Dong, C.M.[Chang-Ming], He, Z.G.[Zhi-Gang], Yan, Y.W.[Yun-Wei], Wang, D.X.[Dong-Xiao],
Evaluation of Satellite-Altimetry-Derived Pycnocline Depth Products in the South China Sea,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lecours, V., Devillers, R., Lucieer, V.L., Brown, C.J.,
Artefacts in Marine Digital Terrain Models: A Multiscale Analysis of Their Impact on the Derivation of Terrain Attributes,
GeoRS(55), No. 9, September 2017, pp. 5391-5406.
IEEE DOI 1709
bathymetry, error propagation, marine geomorphometry, multibeam bathymetry, BibRef

Lee, S., Meister, G.,
MODIS Aqua Optical Throughput Degradation Impact on Relative Spectral Response and Calibration of Ocean Color Products,
GeoRS(55), No. 9, September 2017, pp. 5214-5219.
IEEE DOI 1709
MODIS aqua optical throughput degradation impact, modulated RSR estimate, ocean color product calibration, system optical throughput, Moderate Resolution Imaging Spectroradiometer (MODIS), BibRef

Guo, K.[Kai], Xu, W.X.[Wen-Xue], Liu, Y.X.[Yan-Xiong], He, X.F.[Xiu-Feng], Tian, Z.[Ziwen],
Gaussian Half-Wavelength Progressive Decomposition Method for Waveform Processing of Airborne Laser Bathymetry,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Zhao, J.H.[Jian-Hu], Shang, X.D.[Xiao-Dong], Zhang, H.M.[Hong-Mei],
Reconstructing Seabed Topography from Side-Scan Sonar Images with Self-Constraint,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Zhao, J.H.[Jian-Hu], Shang, X.D.[Xiao-Dong], Zhang, H.M.[Hong-Mei],
Side-Scan Sonar Image Mosaic Using Couple Feature Points with Constraint of Track Line Positions,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Shang, X.D.[Xiao-Dong], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei],
Obtaining High-Resolution Seabed Topography and Surface Details by Co-Registration of Side-Scan Sonar and Multibeam Echo Sounder Images,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Maleika, W.[Wojciech], Koziarski, M.[Michal], Forczmanski, P.[Pawel],
A Multiresolution Grid Structure Applied to Seafloor Shape Modeling,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Kim, T.S.[Tae-Sung], Park, K.A.[Kyung-Ae], Lee, M.[Moonjin],
Modulation of Tidal Channel Signatures on SAR Images Over Gyeonggi Bay in Relation to Environmental Factors,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Traganos, D.[Dimosthenis], Poursanidis, D.[Dimitris], Aggarwal, B.[Bharat], Chrysoulakis, N.[Nektarios], Reinartz, P.[Peter],
Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Legleiter, C.J.[Carl J.], Overstreet, B.T.[Brandon T.], Kinzel, P.J.[Paul J.],
Sampling Strategies to Improve Passive Optical Remote Sensing of River Bathymetry,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Hodúl, M.[Matúš], Bird, S.[Stephen], Knudby, A.[Anders], Chénier, R.[René],
Satellite derived photogrammetric bathymetry,
PandRS(142), 2018, pp. 268-277.
Elsevier DOI 1807
Bathymetry, Hydrography, Two-media photogrammetry, WorldView-2 BibRef

Rimavicius, T.[Tadas], Gelžinis, A.[Adas], Verikas, A.[Antanas], Vaiciukynas, E.[Evaldas], Bacauskiene, M.[Marija], Šaškov, A.[Aleksej],
Automatic benthic imagery recognition using a hierarchical two-stage approach,
SIViP(12), No. 6, September 2018, pp. 1107-1114.
Springer DOI 1808
BibRef

Picard, L., Baussard, A., Quidu, I., Le Chenadec, G.,
Seafloor Description in Sonar Images Using the Monogenic Signal and the Intrinsic Dimensionality,
GeoRS(56), No. 9, September 2018, pp. 5572-5587.
IEEE DOI 1809
Sonar, Transforms, Complexity theory, Anisotropic magnetoresistance, Feature extraction, sonar imaging BibRef

Chénier, R.[René], Faucher, M.A.[Marc-André], Ahola, R.[Ryan],
Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Liu, S., Wang, L., Liu, H., Su, H., Li, X., Zheng, W.,
Deriving Bathymetry From Optical Images With a Localized Neural Network Algorithm,
GeoRS(56), No. 9, September 2018, pp. 5334-5342.
IEEE DOI 1809
Neural networks, Adaptation models, Data models, Training, Optical imaging, Adaptive optics, Optical network units, optical remote sensing BibRef

Alvarez, L.V.[Laura V.], Moreno, H.A.[Hernan A.], Segales, A.R.[Antonio R.], Pham, T.G.[Tri G.], Pillar-Little, E.A.[Elizabeth A.], Chilson, P.B.[Phillip B.],
Merging Unmanned Aerial Systems (UAS) Imagery and Echo Soundings with an Adaptive Sampling Technique for Bathymetric Surveys,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Moisan, E.[Emmanuel], Charbonnier, P.[Pierre], Foucher, P.[Philippe], Grussenmeyer, P.[Pierre], Guillemin, S.[Samuel],
Evaluating a Static Multibeam Sonar Scanner for 3D Surveys in Confined Underwater Environments,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Chénier, R.[René], Faucher, M.A.[Marc-André], Ahola, R.[Ryan], Shelat, Y.[Yask], Sagram, M.[Mesha],
Bathymetric Photogrammetry to Update CHS Charts: Comparing Conventional 3D Manual and Automatic Approaches,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Masetti, G.[Giuseppe], Faulkes, T.[Tyanne], Kastrisios, C.[Christos],
Automated Identification of Discrepancies between Nautical Charts and Survey Soundings,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Janowski, L.[Lukasz], Trzcinska, K.[Karolina], Tegowski, J.[Jaroslaw], Kruss, A.[Aleksandra], Rucinska-Zjadacz, M.[Maria], Pocwiardowski, P.[Pawel],
Nearshore Benthic Habitat Mapping Based on Multi-Frequency, Multibeam Echosounder Data Using a Combined Object-Based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Chénier, R.[René], Ahola, R.[Ryan], Sagram, M.[Mesha], Faucher, M.A.[Marc-André], Shelat, Y.[Yask],
Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Bergsma, E.W.J.[Erwin W. J.], Conley, D.C.[Daniel C.], Davidson, M.A.[Mark A.], O'Hare, T.J.[Tim J.], Almar, R.[Rafael],
Storm Event to Seasonal Evolution of Nearshore Bathymetry Derived from Shore-Based Video Imagery,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Legleiter, C.J.[Carl J.], Fosness, R.L.[Ryan L.],
Defining the Limits of Spectrally Based Bathymetric Mapping on a Large River,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Danilo, C.[Céline], Melgani, F.[Farid],
High-Coverage Satellite-Based Coastal Bathymetry through a Fusion of Physical and Learning Methods,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Almeida, L.P.[Luís Pedro], Almar, R.[Rafael], Bergsma, E.W.J.[Erwin W. J.], Berthier, E.[Etienne], Baptista, P.[Paulo], Garel, E.[Erwan], Dada, O.A.[Olusegun A.], Alves, B.[Bruna],
Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Kogut, T.[Tomasz], Bakula, K.[Krzysztof],
Improvement of Full Waveform Airborne Laser Bathymetry Data Processing based on Waves of Neighborhood Points,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Sagawa, T.[Tatsuyuki], Yamashita, Y.[Yuta], Okumura, T.[Toshio], Yamanokuchi, T.[Tsutomu],
Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Poursanidis, D.[Dimitris], Traganos, D.[Dimosthenis], Chrysoulakis, N.[Nektarios], Reinartz, P.[Peter],
Cubesats Allow High Spatiotemporal Estimates of Satellite-Derived Bathymetry,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Wlodarczyk-Sielicka, M.[Marta], Stateczny, A.[Andrzej], Lubczonek, J.[Jacek],
The Reduction Method of Bathymetric Datasets that Preserves True Geodata,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Parrish, C.E.[Christopher E.], Magruder, L.A.[Lori A.], Neuenschwander, A.L.[Amy L.], Forfinski-Sarkozi, N.[Nicholas], Alonzo, M.[Michael], Jasinski, M.[Michael],
Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS's Bathymetric Mapping Performance,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Pike, S.[Samuel], Traganos, D.[Dimosthenis], Poursanidis, D.[Dimitris], Williams, J.[Jamie], Medcalf, K.[Katie], Reinartz, P.[Peter], Chrysoulakis, N.[Nektarios],
Leveraging Commercial High-Resolution Multispectral Satellite and Multibeam Sonar Data to Estimate Bathymetry: The Case Study of the Caribbean Sea,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Wilken, D.[Dennis], Wunderlich, T.[Tina], Feldens, P.[Peter], Coolen, J.[Joris], Preston, J.[John], Mehler, N.[Natascha],
Investigating the Norse Harbour of Igaliku (Southern Greenland) Using an Integrated System of Side-Scan Sonar and High-Resolution Reflection Seismics,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Brodie, K.L., Bruder, B.L., Slocum, R.K., Spore, N.J.,
Simultaneous Mapping of Coastal Topography and Bathymetry From a Lightweight Multicamera UAS,
GeoRS(57), No. 9, September 2019, pp. 6844-6864.
IEEE DOI 1909
Cameras, Sea measurements, Surfaces, Laser radar, Global Positioning System, Payloads, Aircraft, Coastal mapping, Unmanned Aircraft Systems (UAS) BibRef

El-Diasty, M.[Mohammed],
Satellite-Based Bathymetric Modeling Using a Wavelet Network Model,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Li, Y., Gao, H., Jasinski, M.F., Zhang, S., Stoll, J.D.,
Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery,
GeoRS(57), No. 10, October 2019, pp. 7883-7893.
IEEE DOI 1910
altimeters, bathymetry, digital elevation models, geophysical image processing, height measurement, reservoir bathymetry BibRef

Simarro, G.[Gonzalo], Calvete, D.[Daniel], Luque, P.[Pau], Orfila, A.[Alejandro], Ribas, F.[Francesca],
UBathy: A New Approach for Bathymetric Inversion from Video Imagery,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Mavraeidopoulos, A.K.[Athanasios K.], Oikonomou, E.[Emmanouil], Palikaris, A.[Athanasios], Poulos, S.[Serafeim],
A Hybrid Bio-Optical Transformation for Satellite Bathymetry Modeling Using Sentinel-2 Imagery,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Arseni, M.[Maxim], Voiculescu, M.[Mirela], Georgescu, L.P.[Lucian Puiu], Iticescu, C.[Catalina], Rosu, A.[Adrian],
Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River,
IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Hou, G.C.[Guang-Chao], Shao, Q.[Qi], Zou, B.[Bo], Dai, L.W.[Li-Wen], Zhang, Z.[Zhe], Mu, Z.H.[Zhe-Han], Zhang, Y.D.[Ya-Dong], Zhai, J.S.[Jing-Sheng],
A Novel Underwater Simultaneous Localization and Mapping Online Algorithm Based on Neural Network,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Yan, J.[Jun], Meng, J.X.[Jun-Xia], Zhao, J.H.[Jian-Hu],
Real-Time Bottom Tracking Using Side Scan Sonar Data Through One-Dimensional Convolutional Neural Networks,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Mandlburger, G.[Gottfried], Pfennigbauer, M.[Martin], Schwarz, R.[Roland], Flöry, S.[Sebastian], Nussbaumer, L.[Lukas],
Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Pöppl, F.[Florian], Ullrich, A.[Andreas], Mandlburger, G.[Gottfried], Pfeifer, N.[Norbert],
A flexible trajectory estimation methodology for kinematic laser scanning,
PandRS(215), 2024, pp. 62-79.
Elsevier DOI 2408
Scanner on moving platform. Georeferencing, Sensor orientation, Sensor fusion, Tightly-coupled LiDAR, Multi-platform adjustment, Integrated trajectory estimation BibRef

Mandlburger, G.[Gottfried], Pfennigbauer, M.[Martin], Wieser, M., Riegl, U., Pfeifer, N.,
Evaluation Of A Novel UAV-borne Topo-bathymetric Laser Profiler,
ISPRS16(B1: 933-939).
DOI Link 1610
BibRef

Xia, H., Li, X., Zhang, H., Wang, J., Lou, X., Fan, K., Shi, A., Li, D.,
A Bathymetry Mapping Approach Combining Log-Ratio and Semianalytical Models Using Four-Band Multispectral Imagery Without Ground Data,
GeoRS(58), No. 4, April 2020, pp. 2695-2709.
IEEE DOI 2004
Bathymetry mapping, four-band imagery, log-ratio model, no ground data, semianalytical model BibRef

Halmai, Á.[Ákos], Gradwohl-Valkay, A.[Alexandra], Czigány, S.[Szabolcs], Ficsor, J.[Johanna], Liptay, Z.Á.[Zoltán Árpád], Kiss, K.[Kinga], Lóczy, D.[Dénes], Pirkhoffer, E.[Ervin],
Applicability of a Recreational-Grade Interferometric Sonar for the Bathymetric Survey and Monitoring of the Drava River,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Tramelli, A.[Andrea], Cappucci, S.[Sergio], Valentini, E.[Emiliana], Rossi, L.[Lorenzo], Lisi, I.[Iolanda],
Nearshore Sandbar Classification of Sabaudia (Italy) with LiDAR Data: The FHyL Approach,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Bué, I.[Isabel], Catalão, J.[João], Semedo, Á.[Álvaro],
Intertidal Bathymetry Extraction with Multispectral Images: A Logistic Regression Approach,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Zhang, K., Li, Q., Zhu, H., Yang, F., Wu, Z.,
Acoustic Deep-Sea Seafloor Characterization Accounting for Heterogeneity Effect,
GeoRS(58), No. 5, May 2020, pp. 3034-3042.
IEEE DOI 2005
Feature extraction, Backscatter, Acoustics, Sea measurements, Sediments, Substrates, Acoustic measurements, underwater acoustic measurement BibRef

Su, D., Yang, F., Ma, Y., Wang, X.H., Yang, A., Qi, C.,
Propagated Uncertainty Models Arising From Device, Environment, and Target for a Small Laser Spot Airborne LiDAR Bathymetry and its Verification in the South China Sea,
GeoRS(58), No. 5, May 2020, pp. 3213-3231.
IEEE DOI 2005
Airborne LiDAR bathymetry (ALB), irregular bottom, laser pointing deflection, ranging uncertainty models, scattering BibRef

Yang, A.X.[An-Xiu], Wu, Z.Y.[Zi-Yin], Yang, F.[Fanlin], Su, D.[Dianpeng], Ma, Y.[Yue], Zhao, D.[Dineng], Qi, C.[Chao],
Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation,
PandRS(163), 2020, pp. 49-61.
Elsevier DOI 2005
Airborne LiDAR bathymetry, Bidirectional cloth simulation filtering, Parameter refinement BibRef

Leon, A.Z.[America Zelada], Huvenne, V.A.I.[Veerle A.I.], Benoist, N.M.A.[Noëlie M.A.], Ferguson, M.[Matthew], Bett, B.J.[Brian J.], Wynn, R.B.[Russell B.],
Assessing the Repeatability of Automated Seafloor Classification Algorithms, with Application in Marine Protected Area Monitoring,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Guillaume, M.[Mireille], Minghelli, A.[Audrey], Deville, Y.[Yannick], Chami, M.[Malik], Juste, L.[Louis], Lenot, X.[Xavier], Lafrance, B.[Bruno], Jay, S.[Sylvain], Briottet, X.[Xavier], Serfaty, V.[Veronique],
Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Mateo-Pérez, V.[Vanesa], Corral-Bobadilla, M.[Marina], Ortega-Fernández, F.[Francisco], Vergara-González, E.P.[Eliseo P.],
Port Bathymetry Mapping Using Support Vector Machine Technique and Sentinel-2 Satellite Imagery,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Saylam, K.[Kutalmis], Averett, A.R.[Aaron R.], Costard, L.[Lucie], Wolaver, B.D.[Brad D.], Robertson, S.[Sarah],
Multi-Sensor Approach to Improve Bathymetric Lidar Mapping of Semi-Arid Groundwater-Dependent Streams: Devils River, Texas,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Prado, E.[Elena], Rodríguez-Basalo, A.[Augusto], Cobo, A.[Adolfo], Ríos, P.[Pilar], Sánchez, F.[Francisco],
3D Fine-scale Terrain Variables from Underwater Photogrammetry: A New Approach to Benthic Microhabitat Modeling in a Circalittoral Rocky Shelf,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Specht, M.[Mariusz], Specht, C.[Cezary], Szafran, M.[Maciej], Makar, A.[Artur], Dabrowski, P.[Pawel], Lasota, H.[Henryk], Cywinski, P.[Piotr],
The Use of USV to Develop Navigational and Bathymetric Charts of Yacht Ports on the Example of National Sailing Centre in Gdansk,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Vasile, G.[Gabriel],
Vibration Data Processing for Bedload Monitoring in Underwater Environments,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Ilori, C.O.[Christopher O.], Knudby, A.[Anders],
An Approach to Minimize Atmospheric Correction Error and Improve Physics-Based Satellite-Derived Bathymetry in a Coastal Environment,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Collins, A.M.[Adam M.], Brodie, K.L.[Katherine L.], Bak, S.A.[Spicer A.], Hesser, T.J.[Tyler J.], Farthing, M.W.[Matthew W.], Lee, J.H.[Jong-Hyun], Long, J.W.[Joseph W.],
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Slocum, R.K.[Richard K.], Parrish, C.E.[Christopher E.], Simpson, C.H.[Chase H.],
Combined geometric-radiometric and neural network approach to shallow bathymetric mapping with UAS imagery,
PandRS(169), 2020, pp. 351-363.
Elsevier DOI 2011
UAS, SfM, SDB, Bathymetry, Neural Network BibRef

Alevizos, E.[Evangelos],
A Combined Machine Learning and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Tysiac, P.[Pawel],
Bringing Bathymetry LiDAR to Coastal Zone Assessment: A Case Study in the Southern Baltic,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Rossi, L.[Lorenzo], Mammi, I.[Irene], Pelliccia, F.[Filippo],
UAV-Derived Multispectral Bathymetry,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Kapetanovic, N.[Nadir], Vasilijevic, A.[Antonio], Nad, Ð.[Ðula], Zubcic, K.[Krunoslav], Miškovic, N.[Nikola],
Marine Robots Mapping the Present and the Past: Unraveling the Secrets of the Deep,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Leng, Z.H.[Zi-Hao], Zhang, J.[Jie], Ma, Y.[Yi], Zhang, J.Y.[Jing-Yu],
Underwater Topography Inversion in Liaodong Shoal Based on GRU Deep Learning Model,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Emanuele, P.[Pontoglio], Nives, G.[Grasso], Andrea, C.[Cagninei], Carlo, C.[Camporeale], Paolo, D.[Dabove], Maria, L.A.[Lingua Andrea],
Bathymetric Detection of Fluvial Environments through UASs and Machine Learning Systems,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Yang, J.J.[Jun-Jun], Luo, Z.C.[Zhi-Cai], Tu, L.C.[Liang-Cheng], Li, S.S.[Shan-Shan], Guo, J.X.[Jing-Xue], Fan, D.[Diao],
On the Feasibility of Seafloor Topography Estimation from Airborne Gravity Gradients: Performance Analysis Using Real Data,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Cooper, I.[Izaak], Hotchkiss, R.H.[Rollin H.], Williams, G.P.[Gustavious Paul],
Extending Multi-Beam Sonar with Structure from Motion Data of Shorelines for Complete Pool Bathymetry of Reservoirs,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Simarro, G.[Gonzalo], Calvete, D.[Daniel], Plomaritis, T.A.[Theocharis A.], Moreno-Noguer, F.[Francesc], Giannoukakou-Leontsini, I.[Ifigeneia], Montes, J.[Juan], Durán, R.[Ruth],
The Influence of Camera Calibration on Nearshore Bathymetry Estimation from UAV Videos,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Huang, L.Y.[Long-Yu], Yang, J.G.[Jun-Gang], Meng, J.M.[Jun-Min], Zhang, J.[Jie],
Underwater Topography Detection and Analysis of the Qilianyu Islands in the South China Sea Based on GF-3 SAR Images,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Jung, N.W.[Nathalie W.], Lee, G.H.[Guan-Hong], Jung, Y.[Yoonho], Figueroa, S.M.[Steven M.], Lagamayo, K.D.[Kenneth D.], Jo, T.C.[Tae-Chang], Chang, J.W.[Jong-Wi],
MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Zhang, W.H.[Wen-Hao], Xu, N.[Nan], Ma, Y.[Yue], Yang, B.S.[Bi-Sheng], Zhang, Z.Y.[Zhi-Yu], Wang, X.H.[Xiao Hua], Li, S.[Song],
A maximum bathymetric depth model to simulate satellite photon-counting lidar performance,
PandRS(174), 2021, pp. 182-197.
Elsevier DOI 2103
Photon-counting lidar, Bathymetry, ICESat-2, Maximum bathymetric depth BibRef

Perivolioti, T.M.[Triantafyllia-Maria], Mouratidis, A.[Antonios], Terzopoulos, D.[Dimitrios], Kalaitzis, P.[Panagiotis], Ampatzidis, D.[Dimitrios], Tušer, M.[Michal], Frouzova, J.[Jaroslava], Bobori, D.[Dimitra],
Production, Validation and Morphometric Analysis of a Digital Terrain Model for Lake Trichonis Using Geospatial Technologies and Hydroacoustics,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Ma, Y.H.[Yun-Han], Zhang, H.G.[Hua-Guo], Li, X.R.[Xiao-Run], Wang, J.[Juan], Cao, W.T.[Wen-Ting], Li, D.L.[Dong-Ling], Lou, X.L.[Xiu-Lin], Fan, K.G.[Kai-Guo],
An Exponential Algorithm for Bottom Reflectance Retrieval in Clear Optically Shallow Waters from Multispectral Imagery without Ground Data,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Arshad, B.[Bilal], Barthelemy, J.[Johan], Perez, P.[Pascal],
Autonomous Lidar-Based Monitoring of Coastal Lagoon Entrances,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Li, J.[Jiwei], Knapp, D.E.[David E.], Lyons, M.[Mitchell], Roelfsema, C.[Chris], Phinn, S.[Stuart], Schill, S.R.[Steven R.], Asner, G.P.[Gregory P.],
Automated Global Shallow Water Bathymetry Mapping Using Google Earth Engine,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Kryniecka, K.[Klaudia], Magnuszewski, A.[Artur],
Application of Satellite Sentinel-2 Images to Study Alternate Sandbars Movement at Lower Vistula River (Poland),
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Runya, R.M.[Robert Mzungu], McGonigle, C.[Chris], Quinn, R.[Rory], Howe, J.[John], Collier, J.[Jenny], Fox, C.[Clive], Dooley, J.[James], O'Loughlin, R.[Rory], Calvert, J.[Jay], Scott, L.[Louise], Abernethy, C.[Colin], Evans, W.[Will],
Examining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Size,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Skopeliti, A.[Andriani], Tsoulos, L.[Lysandros], Pe'eri, S.[Shachak],
Depth Contours and Coastline Generalization for Harbour and Approach Nautical Charts,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Chormanski, J.[Jaroslaw], Nowicka, B.[Barbara], Wieckowski, A.[Aleksander], Ciupak, M.[Maurycy], Józwiak, J.[Jacek], Figura, T.[Tadeusz],
Coupling of Dual Channel Waveform ALS and Sonar for Investigation of Lake Bottoms and Shore Zones,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Zhao, T.[Ting], Gavazzi, G.M.[Giacomo Montereale], Lazendic, S.[Srdan], Zhao, Y.X.[Yu-Xin], Pižurica, A.[Aleksandra],
Acoustic Seafloor Classification Using the Weyl Transform of Multibeam Echosounder Backscatter Mosaic,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Lowell, K.[Kim], Calder, B.[Brian],
Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Guo, K.[Kai], Li, Q.Q.[Qing-Quan], Mao, Q.Z.[Qing-Zhou], Wang, C.S.[Chi-Sheng], Zhu, J.S.[Jia-Song], Liu, Y.X.[Yan-Xiong], Xu, W.X.[Wen-Xue], Zhang, D.[Dejin], Wu, A.[Anlei],
Errors of Airborne Bathymetry LiDAR Detection Caused by Ocean Waves and Dimension-Based Laser Incidence Correction,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Minghelli, A.[Audrey], Vadakke-Chanat, S.[Sayoob], Chami, M.[Malik], Guillaume, M.[Mireille], Migne, E.[Emmanuelle], Grillas, P.[Patrick], Boutron, O.[Olivier],
Estimation of Bathymetry and Benthic Habitat Composition from Hyperspectral Remote Sensing Data (BIODIVERSITY) Using a Semi-Analytical Approach,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Summers, G.[Gerard], Lim, A.[Aaron], Wheeler, A.J.[Andrew J.],
A Scalable, Supervised Classification of Seabed Sediment Waves Using an Object-Based Image Analysis Approach,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Hsu, H.J.[Hsiao-Jou], Huang, C.Y.[Chih-Yuan], Jasinski, M.[Michael], Li, Y.[Yao], Gao, H.L.[Hui-Lin], Yamanokuchi, T.[Tsutomu], Wang, C.G.[Cheng-Gi], Chang, T.M.[Tse-Ming], Ren, H.[Hsuan], Kuo, C.Y.[Chung-Yen], Tseng, K.H.[Kuo-Hsin],
A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea,
PandRS(178), 2021, pp. 1-19.
Elsevier DOI 2108
Coastal Bathymetry, Electronic Navigation Chart, Zones of Confidence, LiDAR BibRef

Prampolini, M.[Mariacristina], Angeletti, L.[Lorenzo], Castellan, G.[Giorgio], Grande, V.[Valentina], Le Bas, T.[Tim], Taviani, M.[Marco], Foglini, F.[Federica],
Benthic Habitat Map of the Southern Adriatic Sea (Mediterranean Sea) from Object-Based Image Analysis of Multi-Source Acoustic Backscatter Data,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Wei, C.Z.[Chun-Zhu], Zhao, Q.Y.[Qian-Ying], Lu, Y.[Yang], Fu, D.J.[Dong-Jie],
Assessment of Empirical Algorithms for Shallow Water Bathymetry Using Multi-Spectral Imagery of Pearl River Delta Coast, China,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Hu, M.Z.[Min-Zhang], Li, L.[Li], Jin, T.Y.[Tao-Yong], Jiang, W.P.[Wei-Ping], Wen, H.J.[Han-Jiang], Li, J.C.[Jian-Cheng],
A New 1' × 1' Global Seafloor Topography Model Predicted from Satellite Altimetric Vertical Gravity Gradient Anomaly and Ship Soundings BAT_VGG2021,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Liu, Y.M.[Yong-Ming], Zhao, J.[Jun], Deng, R.[Ruru], Liang, Y.H.[Ye-Heng], Gao, Y.K.[Yi-Kang], Chen, Q.D.[Qi-Dong], Xiong, L.H.[Long-Hai], Liu, Y.F.[Ying-Fei], Tang, Y.M.[Yu-Ming], Tang, D.L.[Dan-Ling],
A downscaled bathymetric mapping approach combining multitemporal Landsat-8 and high spatial resolution imagery: Demonstrations from clear to turbid waters,
PandRS(180), 2021, pp. 65-81.
Elsevier DOI 2109
Landsat-8, Downscaled, Bathymetry, Shallow water, High spatial resolution BibRef

Jung, J.[Jaehoon], Lee, J.B.[Jae-Bin], Parrish, C.E.[Christopher E.],
Inverse Histogram-Based Clustering Approach to Seafloor Segmentation from Bathymetric Lidar Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Ji, X.[Xue], Yang, B.S.[Bi-Sheng], Tang, Q.H.[Qiu-Hua], Xu, W.X.[Wen-Xue],
A Coarse-to-Fine Strip Mosaicing Model for Airborne Bathymetric LiDAR Data,
GeoRS(59), No. 10, October 2021, pp. 8129-8142.
IEEE DOI 2109
Strips, Sea measurements, Sea surface, Laser radar, Atmospheric modeling, Data models, weight distribution BibRef

Zhang, Z.H.[Zhen-Hua], Chen, P.[Peng], Mao, Z.H.[Zhi-Hua], Yuan, D.P.[Da-Peng],
A Novel Fast Multiple-Scattering Approximate Model for Oceanographic Lidar,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Lubczonek, J.[Jacek], Wlodarczyk-Sielicka, M.[Marta], Lacka, M.[Malgorzata], Zaniewicz, G.[Grzegorz],
Methodology for Developing a Combined Bathymetric and Topographic Surface Model Using Interpolation and Geodata Reduction Techniques,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Liu, C.D.[Chang-Da], Qi, J.W.[Jia-Wei], Li, J.[Jie], Tang, Q.H.[Qiu-Hua], Xu, W.X.[Wen-Xue], Zhou, X.H.[Xing-Hua], Meng, W.J.[Wen-Jun],
Accurate Refraction Correction: Assisted Bathymetric Inversion Using ICESat-2 and Multispectral Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Coveney, S.[Seamus], Monteys, X.[Xavier], Hedley, J.D.[John D.], Castillo-Campo, Y.[Yeray], Kelleher, B.[Brian],
ICESat-2 Marine Bathymetry: Extraction, Refraction Adjustment and Vertical Accuracy as a Function of Depth in Mid-Latitude Temperate Contexts,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhu, W.D.[Wei-Dong], Ye, L.[Li], Qiu, Z.[Zhenge], Luan, K.[Kuifeng], He, N.[Naiying], Wei, Z.[Zheng], Yang, F.[Fan], Yue, Z.[Zilin], Zhao, S.[Shubing], Yang, F.[Fei],
Research of the Dual-Band Log-Linear Analysis Model Based on Physics for Bathymetry without In-Situ Depth Data in the South China Sea,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wu, Z.Q.[Zhong-Qiang], Mao, Z.H.[Zhi-Hua], Shen, W.[Wen],
Integrating Multiple Datasets and Machine Learning Algorithms for Satellite-Based Bathymetry in Seaports,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chuang, L.Z.H.[Laurence Zsu-Hsin], Wu, L.C.[Li-Chung], Sun, Y.D.[Yung-Da], Lai, J.W.[Jian-Wu],
Bathymetry Determination Based on Abundant Wavenumbers Estimated from the Local Phase Gradient of X-Band Radar Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ferrera, M.[Maxime], Arnaubec, A.[Aurélien], Istenic, K.[Klemen], Gracias, N.[Nuno], Bajjouk, T.[Touria],
Hyperspectral 3D Mapping of Underwater Environments,
OceanVision21(3696-3705)
IEEE DOI 2112
Surface reconstruction, Solid modeling, Dead reckoning, Cameras BibRef

Quilleuc, A.L.[Alyson Le], Collin, A.[Antoine], Jasinski, M.F.[Michael F.], Devillers, R.[Rodolphe],
Very High-Resolution Satellite-Derived Bathymetry and Habitat Mapping Using Pleiades-1 and ICESat-2,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Lebrec, U.[Ulysse], Riera, R.[Rosine], Paumard, V.[Victorien], O'Leary, M.J.[Michael J.], Lang, S.C.[Simon C.],
Automatic Mapping and Characterisation of Linear Depositional Bedforms: Theory and Application Using Bathymetry from the North West Shelf of Australia,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, J.L.[Jia-Li], Chen, M.[Ming], Zhu, W.D.[Wei-Dong], Hu, L.[Liting], Wang, Y.[Yasong],
A Combined Approach for Retrieving Bathymetry from Aerial Stereo RGB Imagery,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Evagorou, E.[Evagoras], Argyriou, A.[Athanasios], Papadopoulos, N.[Nikos], Mettas, C.[Christodoulos], Alexandrakis, G.[George], Hadjimitsis, D.[Diofantos],
Evaluation of Satellite-Derived Bathymetry from High and Medium-Resolution Sensors Using Empirical Methods,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Guo, K.[Kai], Li, Q.Q.[Qing-Quan], Wang, C.S.[Chi-Sheng], Mao, Q.Z.[Qing-Zhou], Liu, Y.X.[Yan-Xiong], Zhu, J.[Jiasong], Wu, A.[Anlei],
Development of a Single-Wavelength Airborne Bathymetric LiDAR: System Design and Data Processing,
PandRS(185), 2022, pp. 62-84.
Elsevier DOI 2202
Ocean exploration equipment, Airborne laser bathymetry, Full-waveform echo signal processing, Seafloor topography survey BibRef

Herrmann, J.[Joan], Magruder, L.A.[Lori A.], Markel, J.[Jonathan], Parrish, C.E.[Christopher E.],
Assessing the Ability to Quantify Bathymetric Change over Time Using Solely Satellite-Based Measurements,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Zhang, D.F.[Dong-Fang], Chen, Y.[Yifu], Le, Y.[Yuan], Dong, Y.S.[Yu-Sen], Dai, G.M.[Guang-Ming], Wang, L.Z.[Li-Zhe],
Refraction and coordinate correction with the JONSWAP model for ICESat-2 bathymetry,
PandRS(186), 2022, pp. 285-300.
Elsevier DOI 2203
Photon counting, Seafloor mapping, Bathymetry, Refraction correction, Displacement bathymetric correction BibRef

Li, Y.X.[Yuan-Xi], Yang, W.[Wei], Li, J.J.[Jun-Jie], Zhang, Z.[Zhen], Meng, L.K.[Ling-Kui],
A Novel Method for Mapping Lake Bottom Topography Using the GSW Dataset and Measured Water Level,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Almar, R.[Rafael], Bergsma, E.W.J.[Erwin W. J.], Brodie, K.L.[Katherine L.], Bak, A.S.[Andrew Spicer], Artigues, S.[Stephanie], Lemai-Chenevier, S.[Solange], Cesbron, G.[Guillaume], Delvit, J.M.[Jean-Marc],
Coastal Topo-Bathymetry from a Single-Pass Satellite Video: Insights in Space-Videos for Coastal Monitoring at Duck Beach (NC, USA),
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Mohammadloo, T.H.[Tannaz H.], Geen, M.[Matt], Sewada, J.S.[Jitendra S.], Snellen, M.[Mirjam], Simons, D.G.[Dick G.],
Assessing the Performance of the Phase Difference Bathymetric Sonar Depth Uncertainty Prediction Model,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Martí, A.[Aniol], Portell, J.[Jordi], Amblas, D.[David], de Cabrera, F.[Ferran], Vilà, M.[Marc], Riba, J.[Jaume], Mitchell, G.[Garrett],
Compression of Multibeam Echosounders Bathymetry and Water Column Data,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Xu, J.S.[Jia-Sheng], Zhou, G.Q.[Guo-Qing], Su, S.[Sikai], Cao, Q.B.[Qiao-Bo], Tian, Z.[Zhou],
The Development of A Rigorous Model for Bathymetric Mapping from Multispectral Satellite-Images,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Tang, Q.H.[Qiu-Hua], Li, J.[Jie], Ding, D.Q.[De-Qiu], Ji, X.[Xue], Li, N.N.[Ning-Ning], Yang, L.[Lei], Sun, W.[Weikang],
Deep-Sea Seabed Sediment Classification Using Finely Processed Multibeam Backscatter Intensity Data in the Southwest Indian Ridge,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Schönke, M.[Mischa], Clemens, D.[David], Feldens, P.[Peter],
Quantifying the Physical Impact of Bottom Trawling Based on High-Resolution Bathymetric Data,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
Damage analysis. BibRef

Shen, X.[Xue], Kong, W.[Wei], Chen, P.[Peng], Chen, T.[Tao], Huang, G.[Genghua], Shu, R.[Rong],
A Shipborne Photon-Counting Lidar for Depth-Resolved Ocean Observation,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Shan, R.[Rui], Liu, H.M.[Hui-Min], Zhao, S.[Shuang], Li, H.J.[Hao-Jun],
Investigation on Vertical Position and Sound Velocity Variation for GNSS/Acoustic Seafloor Geodetic Calibration Based on Moving Survey Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, L.[Liang], Yu, G.[Gaokun], Liang, M.[Minshuai], Ren, Y.[Yun], Peng, L.H.[Lin-Hui],
Experimental Measurement of Forward Scattering from Very Rough Sand Ripples in a Water Tank,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Lu, B.[Biao], Xu, C.[Chuang], Li, J.[Jinbo], Zhong, B.[Bo], van der Meijde, M.[Mark],
Marine Gravimetry and Its Improvements to Seafloor Topography Estimation in the Southwestern Coastal Area of the Baltic Sea,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Alevizos, E.[Evangelos], Nicodemou, V.C.[Vassilis C.], Makris, A.[Alexandros], Oikonomidis, I.[Iason], Roussos, A.[Anastasios], Alexakis, D.D.[Dimitrios D.],
Integration of Photogrammetric and Spectral Techniques for Advanced Drone-Based Bathymetry Retrieval Using a Deep Learning Approach,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Louvart, P.[Pierre], Cook, H.[Harry], Smithers, C.[Chloe], Laporte, J.[Jean],
A New Approach to Satellite-Derived Bathymetry: An Exercise in Seabed 2030 Coastal Surveys,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Cheong, S.[Snons], Yelisetti, S.[Subbarao], Chun, J.H.[Jong-Hwa],
Numerical Imaging of the Seabed and Acoustic Flares with Topography and Velocity Variance,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
Anomalous acoustic events. BibRef

Cohen, L.[Lior], Istrati, D.[Daniel], Sher, Y.[Yoni], Brand, Z.[Zev], Eisenberg, H.S.[Hagai S.],
Laser Ranging Bathymetry Using a Photon-Number-Resolving Detector,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhou, G.Q.[Guo-Qing], Zhou, X.[Xiang], Li, W.H.[Wei-Hao], Zhao, D.W.[Da-Wei], Song, B.[Bo], Xu, C.[Chao], Zhang, H.T.[Hao-Tian], Liu, Z.[Zhexian], Xu, J.S.[Jia-Sheng], Lin, G.C.[Gang-Chao], Deng, R.H.[Rong-Hua], Hu, H.C.[Hao-Cheng], Tan, Y.Z.[Yi-Zhi], Lin, J.[Jinchun], Yang, J.Z.[Jia-Zhi], Nong, X.Q.[Xue-Qin], Li, C.Y.[Chen-Yang], Zhao, Y.Q.[Yi-Qiang], Wang, C.[Cheng], Zhang, L.[Lieping], Zou, L.P.[Li-Ping],
Development of a Lightweight Single-Band Bathymetric LiDAR,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Fan, D.[Diao], Li, S.S.[Shan-Shan], Feng, J.[Jinkai], Sun, Y.Q.[Yong-Qi], Xu, Z.B.[Zhen-Bang], Huang, Z.Y.[Zhi-Yong],
A New Global Bathymetry Model: STO_IEU2020,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Bovcon, B.[Borja], Kristan, M.[Matej],
WaSR: A Water Segmentation and Refinement Maritime Obstacle Detection Network,
Cyber(52), No. 12, December 2022, pp. 12661-12674.
IEEE DOI 2212
Semantic segmentation, Autonomous vehicles, Deep learning, Image segmentation, Feature extraction, Deep learning, unmanned surface vehicles (USVs) BibRef

Simarro, G.[Gonzalo], Calvete, D.[Daniel],
UBathy (v2.0): A Software to Obtain the Bathymetry from Video Imagery,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Chen, X.L.[Xiao-Lun], Luo, X.W.[Xiao-Wen], Wu, Z.Y.[Zi-Yin], Qin, X.M.[Xiao-Ming], Shang, J.H.[Ji-Hong], Li, B.[Bin], Wang, M.W.[Ming-Wei], Wan, H.Y.[Hong-Yang],
A VGGNet-Based Method for Refined Bathymetry from Satellite Altimetry to Reduce Errors,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Christou, P.[Panteleimon], Domenikiotis, C.[Christos], Neofitou, N.[Nikos], Vafidis, D.[Dimitris],
Study of the Spatiotemporal Variability of Oceanographic Parameters and Their Relationship to Holothuria Species Abundance in a Marine Protected Area of the Mediterranean Using Satellite Imagery,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Leng, Z.[Zihao], Zhang, J.[Jie], Ma, Y.[Yi], Zhang, J.Y.[Jing-Yu],
ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep Learning Model with Active-Passive Data Fusion,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Zhou, W.N.[Wen-Neng], Tang, Y.M.[Yi-Min], Jing, W.L.[Wen-Long], Li, Y.[Yong], Yang, J.[Ji], Deng, Y.B.[Ying-Bin], Zhang, Y.[Yumeng],
A Comparison of Machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Zhang, G.P.[Guo-Ping], Xing, S.[Shuai], Xu, Q.[Qing], Li, P.C.[Peng-Cheng], Wang, D.[Dandi],
A Pre-Pruning Quadtree Isolation Method with Changing Threshold for ICESat-2 Bathymetric Photon Extraction,
RS(15), No. 6, 2023, pp. 1629.
DOI Link 2304
Ice, Cloud and land Elevation. BibRef

Zhong, J.S.[Jun-Sheng], Liu, X.[Xiuguo], Shen, X.[Xiang], Jiang, L.M.[Li-Ming],
A Robust Algorithm for Photon Denoising and Bathymetric Estimation Based on ICESat-2 Data,
RS(15), No. 8, 2023, pp. 2051.
DOI Link 2305
BibRef

Amoroso, P.P.[Pier Paolo], Aguilar, F.J.[Fernando J.], Parente, C.[Claudio], Aguilar, M.A.[Manuel A.],
Statistical Assessment of Some Interpolation Methods for Building Grid Format Digital Bathymetric Models,
RS(15), No. 8, 2023, pp. 2072.
DOI Link 2305
BibRef

Gülher, E.[Emre], Alganci, U.[Ugur],
Satellite-Derived Bathymetry Mapping on Horseshoe Island, Antarctic Peninsula, with Open-Source Satellite Images: Evaluation of Atmospheric Correction Methods and Empirical Models,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Hu, B.[Bin], Zhao, Y.Q.[Yi-Qiang], Zhou, G.Q.[Guo-Qing], He, J.J.[Jia-Ji], Liu, C.[Changlong], Liu, Q.[Qiang], Ye, M.[Mao], Li, Y.[Yao],
Coupling Dilated Encoder-Decoder Network for Multi-Channel Airborne LiDAR Bathymetry Full-Waveform Denoising,
RS(15), No. 13, 2023, pp. 3293.
DOI Link 2307
BibRef

Xi, X.T.[Xiao-Tao], Chen, M.[Ming], Wang, Y.X.[Ying-Xi], Yang, H.[Hua],
Band-Optimized Bidirectional LSTM Deep Learning Model for Bathymetry Inversion,
RS(15), No. 14, 2023, pp. 3472.
DOI Link 2307
BibRef

Lambert, S.E.[Selina E.], Parrish, C.E.[Christopher E.],
Refraction Correction for Spectrally Derived Bathymetry Using UAS Imagery,
RS(15), No. 14, 2023, pp. 3635.
DOI Link 2307
BibRef

Palaseanu-Lovejoy, M.[Monica], Alexandrov, O.[Oleg], Danielson, J.[Jeff], Storlazzi, C.[Curt],
SaTSeaD: Satellite Triangulated Sea Depth Open-Source Bathymetry Module for NASA Ames Stereo Pipeline,
RS(15), No. 16, 2023, pp. 3950.
DOI Link 2309
BibRef

Breyer, G.[Gavin], Bartholomä, A.[Alexander], Pesch, R.[Roland],
The Suitability of Machine-Learning Algorithms for the Automatic Acoustic Seafloor Classification of Hard Substrate Habitats in the German Bight,
RS(15), No. 16, 2023, pp. 4113.
DOI Link 2309
BibRef

Mader, D., Richter, K., Westfeld, P., Maas, H.G.,
Volumetric nonlinear ortho full-waveform stacking in airborne LiDAR bathymetry for reliable water bottom point detection in shallow waters,
PandRS(204), 2023, pp. 145-162.
Elsevier DOI 2310
LiDAR, Bathymetry, Full-waveform processing, Full-waveform stacking, Voxelization, Ortho full-waveform BibRef

Han, T.[Tong], Zhang, H.G.[Hua-Guo], Cao, W.T.[Wen-Ting], Le, C.F.[Cheng-Feng], Wang, C.[Chen], Yang, X.K.[Xin-Ke], Ma, Y.H.[Yun-Han], Li, D.[Dongling], Wang, J.[Juan], Lou, X.[Xiulin],
Cost-efficient bathymetric mapping method based on massive active-passive remote sensing data,
PandRS(203), 2023, pp. 285-300.
Elsevier DOI 2310
Bathymetric mapping, ICESat-2, Sentinel-2, Shallow oceanic islands BibRef

Wu, Z.Q.[Zhong-Qiang], Wu, S.[Shulei], Yang, H.X.[Hai-Xia], Mao, Z.H.[Zhi-Hua], Shen, W.[Wei],
Enhancing Water Depth Estimation from Satellite Images Using Online Machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data,
RS(15), No. 20, 2023, pp. 4955.
DOI Link 2310
BibRef

Cai, W.[Wuxu], Liu, Y.X.[Yan-Xiong], Chen, Y.[Yilan], Dong, Z.P.[Zhi-Peng], Yuan, H.X.[Han-Xiao], Li, N.N.[Ning-Ning],
A Seabed Terrain Feature Extraction Transformer for the Super-Resolution of the Digital Bathymetric Model,
RS(15), No. 20, 2023, pp. 4906.
DOI Link 2310
BibRef

Jia, D.Z.[Dong-Zhen], Li, Y.[Yu], He, X.[Xiufeng], Yang, Z.X.[Zhi-Xiang], Wu, Y.H.[Yi-Hao], Wu, T.[Taixia], Xu, N.[Nan],
Methods to Improve the Accuracy and Robustness of Satellite-Derived Bathymetry through Processing of Optically Deep Waters,
RS(15), No. 22, 2023, pp. 5406.
DOI Link 2311
BibRef

Martinez, M.M.[Melina M.], Ruiz-Etcheverry, L.A.[Laura A.], Saraceno, M.[Martin], Gros-Martial, A.[Anatole], Campagna, J.[Julieta], Picard, B.[Baptiste], Guinet, C.[Christophe],
Satellite and High-Spatio-Temporal Resolution Data Collected by Southern Elephant Seals Allow an Unprecedented 3D View of the Argentine Continental Shelf,
RS(15), No. 23, 2023, pp. 5604.
DOI Link 2312
BibRef

Saylam, K.[Kutalmis], Briseno, A.[Alejandra], Averett, A.R.[Aaron R.], Andrews, J.R.[John R.],
Analysis of Depths Derived by Airborne Lidar and Satellite Imaging to Support Bathymetric Mapping Efforts with Varying Environmental Conditions: Lower Laguna Madre, Gulf of Mexico,
RS(15), No. 24, 2023, pp. 5754.
DOI Link 2401
BibRef

Chen, L.[Li], Xing, S.[Shuai], Zhang, G.P.[Guo-Ping], Guo, S.T.[Song-Tao], Gao, M.[Ming],
Refraction Correction Based on ATL03 Photon Parameter Tracking for Improving ICESat-2 Bathymetry Accuracy,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Mudiyanselage, S.D.[Sanduni D.], Wilkinson, B.[Ben], Abd-Elrahman, A.[Amr],
Automated High-Resolution Bathymetry from Sentinel-1 SAR Images in Deeper Nearshore Coastal Waters in Eastern Florida,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Zhou, Q.J.[Qing-Jie], Li, X.F.[Xian-Feng], Zheng, J.L.[Jiang-Long], Li, X.S.[Xi-Shuang], Kan, G.M.[Guang-Ming], Liu, B.[Baohua],
Inversion of Sub-Bottom Profile Based on the Sediment Acoustic Empirical Relationship in the Northern South China Sea,
RS(16), No. 4, 2024, pp. 631.
DOI Link 2402
BibRef

Kim, M.[Minsu], Danielson, J.[Jeff], Storlazzi, C.[Curt], Park, S.[Seonkyung],
Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images,
RS(16), No. 5, 2024, pp. 843.
DOI Link 2403
BibRef

Loureiro, G.[Gabriel], Dias, A.[Andr©], Almeida, J.[Jos©], Martins, A.[Alfredo], Hong, S.[Sup], Silva, E.[Eduardo],
A Survey of Seafloor Characterization and Mapping Techniques,
RS(16), No. 7, 2024, pp. 1163.
DOI Link 2404
BibRef

Geisz, J.K.[Joseph K.], Wernette, P.A.[Phillipe A.], Esselman, P.C.[Peter C.],
Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using Machine Learning,
RS(16), No. 7, 2024, pp. 1264.
DOI Link 2404
BibRef

Cao, B.[Bin], Liu, H.[Hui], Cao, B.[Bincai],
Making satellite-derived empirical bathymetry independent of high-quality in-situ depth data: An assessment of four possible model calibration data,
PandRS(211), 2024, pp. 336-355.
Elsevier DOI 2405
Satellite derived bathymetry (SDB), Empirical bathymetry, In-situ depth data, Model calibration data, Altimeter data, Radiative transfer model-based data (RTM data) BibRef

Wagner, N.[Nike], Franke, G.[Gunnar], Schmieder, K.[Klaus], Mandlburger, G.[Gottfried],
Automatic Classification of Submerged Macrophytes at Lake Constance Using Laser Bathymetry Point Clouds,
RS(16), No. 13, 2024, pp. 2257.
DOI Link 2407
BibRef

Liu, Z.[Zhen], Liu, H.[Hao], Ma, Y.[Yue], Ma, X.[Xin], Yang, J.[Jian], Jiang, Y.[Yang], Li, S.H.[Shao-Hui],
Exploring the Most Effective Information for Satellite-Derived Bathymetry Models in Different Water Qualities,
RS(16), No. 13, 2024, pp. 2371.
DOI Link 2407
BibRef

Zhou, G.Q.[Guo-Qing], Wu, J.H.[Jin-Huang], Gao, K.[Ke], Song, N.[Naihui], Jia, G.[Guoshuai], Zhou, X.[Xiang], Xu, J.S.[Jia-Sheng], Wang, X.[Xia],
Development of an Adaptive Fuzzy Integral-Derivative Line-of-Sight Method for Bathymetric LiDAR Onboard Unmanned Surface Vessel,
RS(16), No. 14, 2024, pp. 2657.
DOI Link 2408
BibRef

Janowski, L.[Lukasz], Wróblewski, R.[Radoslaw],
Application and Evaluation of the AI-Powered Segment Anything Model (SAM) in Seafloor Mapping: A Case Study from Puck Lagoon, Poland,
RS(16), No. 14, 2024, pp. 2638.
DOI Link 2408
BibRef

Specht, C.[Cezary], Sliwinska, D.[Dominika],
Hydrographic Inspection Using a USV of a Harbour Bottom Deepened by the Periodic Actuation of SAR Vessel Propellers,
RS(16), No. 14, 2024, pp. 2522.
DOI Link 2408
BibRef

Su, Z.H.[Zhao-Hua], Zhuo, J.[Jie], Sun, C.[Chao],
Imaging Seafloor Features Using Multipath Arrival Structures,
RS(16), No. 14, 2024, pp. 2586.
DOI Link 2408
BibRef

Pibre, L.[Lionel], Pasquet, J.[Jérôme], Douzal, V.[Vincent], Noël, C.[Claire],
New Active Learning Approach for Seabed Segmentation,
ICIP22(2736-2740)
IEEE DOI 2211
Learning systems, Training, Image segmentation, Uncertainty, Soft sensors, Sonar, Biology, Deep learning, Active learning, Multimodal fusion BibRef

Lumban-Gaol, Y.A., Ohori, K.A., Peters, R.Y.,
Satellite-derived Bathymetry Using Convolutional Neural Networks And Multispectral Sentinel-2 Images,
ISPRS21(B3-2021: 201-207).
DOI Link 2201
BibRef

Chemisky, B., Nocerino, E., Menna, F., Nawaf, M.M., Drap, P.,
A Portable Opto-acoustic Survey Solution for Mapping of Underwater Targets,
ISPRS21(B2-2021: 651-658).
DOI Link 2201
BibRef

Bouziani, M., Boucht, F., Nouri, F.,
Contribution of Bathymetric Multi-beam Sonar and Laser Scanners In 3d Modeling and Estimation of Siltation of Dam Basin In Morocco,
GeoInfo21(5-9).
DOI Link 2201
BibRef

Wang, Y., Kato, T., Abe, R., Maebashi, N., Tachi, T., Kishimoto, N.,
Accuracy of Measuring the Bottom of a Pond by Airborne Lidar Bathymetry (ALB),
ISPRS20(B1:73-78).
DOI Link 2012
BibRef

Mertikas, P., Karantzalos, K.,
Seafloor Mapping From Multispectral Multibeam Acoustic Data At The European Open Science Cloud,
ISPRS20(B2:985-990).
DOI Link 2012
BibRef

Jeon, I., Lee, I.,
3d Reconstruction of Unstable Underwater Environment with SFM Using SLAM,
ISPRS20(B2:957-962).
DOI Link 2012
BibRef

El Saer, A., Stentoumis, C., Kalisperakis, I., Grammatikopoulos, L., Nomikou, P., Vlasopoulos, O.,
3d Reconstruction and Mesh Optimization of Underwater Spaces For Virtual Reality,
ISPRS20(B2:949-956).
DOI Link 2012
BibRef

Lumban-Gaol, Y.A., Dewi, R.S., Oktaviani, N., Aditya, S.,
Geographically Weighted Regression Approach for Shallow Water Depth Estimation Using Multispectral Satellite Imageries,
ISPRS20(B3:453-459).
DOI Link 2012
BibRef

van der Lucht, J., Bleier, M., Nüchter, A.,
A Low Cost Underwater Test Environment,
LC3D19(399-404).
DOI Link 1912
BibRef

Bleier, M., van der Lucht, J., Nüchter, A.,
Scout3d: An Underwater Laser Scanning System for Mobile Mapping,
Optical3D19(13-18).
DOI Link 1912
BibRef

Tang, K.K.W., Mahmud, M.R., Hussaini, A., Abubakar, A.G.,
Evaluating Imagery-derived Bathymetry of Seabed Topography to Support Marine Cadastre,
GGT19(633-639).
DOI Link 1912
BibRef

Mugnai, F., Ridolfi, A., Bianchi, M., Franchi, M., Tucci, G.,
Developing Affordable Bathymetric Analysis Techniques Using Non-conventional Payload for Cultural Heritage Inspections,
CIPA19(807-811).
DOI Link 1912
BibRef

Mader, D., Richter, K., Westfeld, P., Weiß, R., Maas, H.G.,
Detection and Extraction of Water Bottom Topography From Laserbathymetry Data By Using Full-waveform-stacking Techniques,
Laser19(1053-1059).
DOI Link 1912
BibRef

Kogut, T., Weistock, M., Bakula, K.,
Classification of Data from Airborne Lidar Bathymetry With Random Forest Algorithm Based On Different Feature Vectors,
PIA19(143-148).
DOI Link 1912
BibRef

Gupta, H., Mitra, K.,
Unsupervised Single Image Underwater Depth Estimation,
ICIP19(624-628)
IEEE DOI 1910
underwater depth, unsupervised, depth estimation, deep learning BibRef

Menna, F., Torresani, A., Nocerino, E., Nawaf, M.M., Seinturier, J., Remondino, F., Drap, P., Chemisky, B.,
Evaluation of Vision-based Localization and Mapping Techniques in A Subsea Metrology Scenario,
Underwater19(127-134).
DOI Link 1904
BibRef

Levin, E., Meadows, G., Shults, R., Karacelebi, U., Kulunk, H.S.,
Bathymetric Surveying in Lake Superior: 3D Modeling and Sonar Equipments Comparing,
Underwater19(101-106).
DOI Link 1904
BibRef

Maas, H.G., Mader, D., Richter, K., Westfeld, P.,
Improvements in Lidar Bathymetry Data Analysis,
Underwater19(113-117).
DOI Link 1904
BibRef

Barrile, V., Fotia, A., Ponterio, R., Aliotta, F.,
Photogrammetric Techniques for the Reconstruction of Underwater 3d Models of Seabed and Artifacts,
Underwater19(25-30).
DOI Link 1904
BibRef

Abdelaziz, M., Elsayed, M.,
Underwater Photogrammetry Digital Surface Model (DSM) of the Submerged Site of the Ancient Lighthouse Near Qaitbay Fort in Alexandria, Egypt,
Underwater19(1-8).
DOI Link 1904
BibRef

Bleier, M., Almeida, C., Ferreira, A., Pereira, R., Matias, B., Almeida, J., Pidgeon, J., van der Lucht, J., Schilling, K., Martins, A., Silva, E., Nüchter, A.,
3d Underwater Mine Modelling in the ¡ vamos ! Project,
Underwater19(39-44).
DOI Link 1904
BibRef

Ichimaru, K., Furukawa, R., Kawasaki, H.,
CNN Based Dense Underwater 3D Scene Reconstruction by Transfer Learning Using Bubble Database,
WACV19(1543-1552)
IEEE DOI 1904
bubbles, cameras, image reconstruction, learning (artificial intelligence), neural nets, Lighting BibRef

Tang, K.K.W., Mahmud, M.R.,
Imagery-derived Bathymetry In Strait of Johor's Turbid Waters Using Multispectral Images,
GeoDisast18(139-145).
DOI Link 1901
BibRef

Qian, Y.M.[Yi-Ming], Zheng, Y.Q.[Yin-Qiang], Gong, M.L.[Ming-Lun], Yang, Y.H.[Yee-Hong],
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene,
ECCV18(III: 776-792).
Springer DOI 1810
BibRef

Samsudin, S.A., Hasan, R.C.,
Assessment of Multibeam Backscatter Texture Analysis for Seafloor Sediment Classification,
GeoDisast17(177-183).
DOI Link 1805
BibRef

Sarakinou, I., Papadimitriou, K., Georgoula, O., Patias, P.,
Underwater 3d Modeling: Image Enhancement And Point Cloud Filtering,
ISPRS16(B2: 441-447).
DOI Link 1610
BibRef

Westfeld, P., Richter, K., Maas, H.G., Weiß, R.[Robert],
Analysis Of The Effect Of Wave Patterns On Refraction In Airborne Lidar Bathymetry,
ISPRS16(B1: 133-139).
DOI Link 1610
BibRef

Ye, D.M.[Dong-Mei], Liao, M.[Ming], Nan, A.[Ao], Wang, E.[Enquan], Zhou, G.W.[Gao-Wei],
Research On Reef Bathymetric Survey Of Uav Stereopair Based On Two-medium Photogrammetry,
ISPRS16(B1: 407-412).
DOI Link 1610
BibRef

Huang, S.Y., Liu, C.L., Ren, H.,
Costal Bathymetry Estimation From Multispectral Image With Back Propagation Neural Network,
ISPRS16(B8: 1123-1125).
DOI Link 1610
BibRef

Ariyasu, E., Kakuta, S., Takeda, T.,
Bathymetry Mapping Using Hyperspectral Data: A Case Study Of Yamada Bay, Northeast Japan,
ISPRS16(B7: 61-64).
DOI Link 1610
BibRef

Kalmbach, A., Hoeberechts, M., Albu, A.B., Glotin, H., Paris, S., Girdhar, Y.,
Learning deep-sea substrate types with visual topic models,
WACV16(1-9)
IEEE DOI 1606
Feature extraction BibRef

Doucette, P., Dolloff, J., Braun, A., Gurson, A., Read, C.H., Shapo, B.,
Error estimation for gridded bathymetry,
AIPR15(1-20)
IEEE DOI 1605
bathymetry BibRef

Nocerino, E., Menna, F., Fassi, F., Remondino, F.,
Underwater Calibration of Dome Port Pressure Housings,
EuroCOW16(xx-yy).
DOI Link 1605
BibRef

Sorensen, S.[Scott], Kolagunda, A.[Abhishek], Saponaro, P.[Philip], Kambhamettu, C.[Chandra],
Refractive stereo ray tracing for reconstructing underwater structures,
ICIP15(1712-1716)
IEEE DOI 1512
Refraction; Stereo Vision; Underwater BibRef

Sáenz, N.A., Paez, D.E., Arango, C.,
Local Algorithm for Monitoring Total Suspended Sediments in Micro-Watersheds Usin Drones and Remote Sensing Applications. Case Study: Teusacá River, La Calera, Colombia,
UAV-g15(159-165).
DOI Link 1512
BibRef

Valencia, J., Ercilla, G., Hernández-Molina, F.J., Casas, D.,
Oceanographic MOWER Cruise,
Underwater15(223-230).
DOI Link 1508
Mediterranean Outflow Water (MOW). BibRef

Rende, F.S., Irving, A.D., Lagudi, A., Bruno, F., Scalise, S., Cappa, P., Montefalcone, M., Bacci, T., Penna, M., Trabucco, B., di Mento, R., Cicero, A.M.,
Pilot Application of 3D Underwater Imaging Techniques for Mapping Posidonia Oceanica (L.) Delile Meadows,
Underwater15(177-181).
DOI Link 1508
BibRef

Giordano, F., Mattei, G., Parente, C., Peluso, F., Santamaria, R.,
MICROVEGA (Micro Vessel for Geodetics Application): A Marine Drone for the Acquisition of Bathymetric Data for GIS Applications,
Underwater15(123-130).
DOI Link 1508
BibRef

Pepe, M., Prezioso, G.,
A Matlab Geodetic Software for Processing Airborne Lidar Bathymetry Data,
Underwater15(167-170).
DOI Link 1508
BibRef

Allotta, B.[Benedetto], Costanzi, R.[Riccardo], Magrini, M.[Massimo], Monni, N.[Niccoló], Moroni, D.[Davide], Pascali, M.A.[Maria Antonietta], Reggiannini, M.[Marco], Ridolfi, A.[Alessandro], Salvetti, O.[Ovidio], Tampucci, M.[Marco],
Towards a Robust System Helping Underwater Archaeologists Through the Acquisition of Geo-referenced Optical and Acoustic Data,
CVS15(253-262).
Springer DOI 1507
BibRef

Nourani-Vatani, N.[Navid], López-Sastre, R.[Roberto], Williams, S.[Stefan],
Structured Output Prediction with Hierarchical Loss Functions for Seafloor Imagery Taxonomic Categorization,
IbPRIA15(173-183).
Springer DOI 1506
BibRef

Saucan, A.A.[Augustin-Alexandru], Chonavel, T.[Thierry], Sintes, C.[Christophe], Le Caillec, J.M.[Jean-Marc],
3-D bathymetric reconstruction in multi-path and reverberant underwater environments,
ICIP14(5831-5835)
IEEE DOI 1502
Arrays BibRef

Pugh, M.[Matthew], Tiddeman, B.[Bernard], Dee, H.[Hannah], Hughes, P.[Philip],
Towards Automated Classification of Seabed Substrates in Underwater Video,
CVAUI14(9-16)
IEEE DOI 1402
Biology BibRef

MŽöller, T., Nilssen, I., Nattkemper, T.W.[Tim W.],
Data-Driven Long Term Change Analysis in Marine Observatory Image Streams,
CVAUI16(13-18)
IEEE DOI 1701
Feature extraction BibRef

Schoening, T.[Timm], Kuhn, T.[Thomas], Nattkemper, T.W.[Tim W.],
Seabed Classification Using a Bag-of-Prototypes Feature Representation,
CVAUI14(17-24)
IEEE DOI 1402
Feature extraction BibRef

Zirek, E., Sunar, F.,
Change Detection Of Seafloor Topography By Modeling Multitemporal Multibeam Echosounder Measurements,
Thematic14(221-227).
DOI Link 1404
BibRef

Hu, J.[Jun], Zhang, H.[Han], Miliou, A., Tsimpidis, T., Thornton, H., Pavlovic, V.,
Categorization of Underwater Habitats Using Dynamic Video Textures,
UWV13(838-843)
IEEE DOI 1403
feature extraction BibRef

Niemeyer, J., Soergel, U.,
Opportunities of Airborne Laser Bathymetry for the Monitoring of the Sea Bed on the Baltic Sea Coast,
SSG13(179-184).
DOI Link 1402
BibRef

Musumeci, R.E.[Rosaria E.], Farinella, G.M.[Giovanni M.],
Measuring Sandy Bottom Dynamics by Exploiting Depth from Stereo Video Sequences,
CIAP13(I:420-430).
Springer DOI 1311
BibRef

Estomata, M.T.L., Blanco, A.C., Nadaoka, K., Tomoling, E.C.M.,
Extraction of Benthic Cover Information From Video Tows and Photographs Using Object-based Image Analysis,
ISPRS12(XXXIX-B8:539-544).
DOI Link 1209
BibRef

Guilbert, E., Zhang, X.,
Generalisation of Submarine Features On Nautical Charts,
AnnalsPRS(I-2), No. 2012, pp. 13-18.
DOI Link 1209
BibRef

Deidda, M., Sanna, G.,
Bathymetric Extraction Using Worldview-2 High Resolution Images,
ISPRS12(XXXIX-B8:153-157).
DOI Link 1209
BibRef

Harrison, R.[Richard], Bellec, V.[Valerie], Mann, D.[Dave], Wang, W.J.[Wen-Jia],
A new approach to the automated mapping of pockmarks in multi-beam bathymetry,
ICIP11(2777-2780).
IEEE DOI 1201
BibRef

MacDermott, P.[Peter],
Generating a multisource seamless topographic/bathymetric elevation model for hydrodynamic modeling within the Annapolis basin, Nova Scotia,
CGC10(104).
PDF File. 1006
BibRef

Mohammadzadeh, A., Valadan Zoej, M.J.,
A State of Art on Airborne LIDAR Application in Hydrology and Oceanography: A Comprehensive Overview,
ISPRS08(B1: 315 ff).
PDF File. 0807
BibRef

Hogue, A., German, A., Zacher, J., Jenkin, M.R.M.,
Underwater 3D Mapping: Experiences and Lessons learned,
CRV06(24-24).
IEEE DOI 0607
BibRef

Collet, C., Provost, J.N., Rostaing, P.,
SPOT Satellite Data Analysis for Bathymetric Mapping,
ICIP00(Vol III: 464-467).
IEEE DOI 0008
BibRef

Beale, R., Somers, I.,
Deep ocean bathymetric imaging with GLORI-B,
ICIP94(I: 886-889).
IEEE DOI 9411
BibRef

Murino, V.[Vittorio], Trucco, A.[Andrea],
Underwater 3D imaging by FFT dynamic focusing beamforming,
ICIP94(I: 890-894).
IEEE DOI 9411
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Shallow Water Bathymetric Mapping, Analysis .