22.5.1 Water Detection Using SAR

Chapter Contents (Back)
Water Detection. Land Cover. SAR.

Regmi, P., Grosse, G., Jones, M., Jones, B., Anthony, K.,
Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data,
RS(4), No. 12, December 2012, pp. 3741-3765.
DOI Link 1211

Kim, D.J.[Duk-Jin], Hwang, B.J.[Byong-Jun], Chung, K.H.[Kyung Ho], Lee, S.H.[Sang Hoon], Jung, H.S.[Hyung-Sup], Moon, W.M.,
Melt Pond Mapping With High-Resolution SAR: The First View,
PIEEE(100), No. 3, March 2013, pp. 748-758.

Yuan, T.[Ting], Lee, H.[Hyongki], Jung, H.C.[Hahn Chul],
Toward Estimating Wetland Water Level Changes Based on Hydrological Sensitivity Analysis of PALSAR Backscattering Coefficients over Different Vegetation Fields,
RS(7), No. 3, 2015, pp. 3153-3183.
DOI Link 1504

Han, H.S.[Hyang-Sun], Im, J.[Jungho], Kim, M.[Miae], Sim, S.M.[Seong-Mun], Kim, J.[Jinwoo], Kim, D.J.[Duk-Jin], Kang, S.H.[Sung-Ho],
Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data,
RS(8), No. 1, 2016, pp. 57.
DOI Link 1602

Xu, C.[Chuan], Sui, H.G.[Hai-Gang], Xu, F.[Feng],
Land Surface Water Mapping Using Multi-Scale Level Sets and a Visual Saliency Model from SAR Images,
IJGI(5), No. 5, 2016, pp. 58.
DOI Link 1606

Bourgeau-Chavez, L.L.[Laura L.], Lee, Y.M.[Yu Man], Battaglia, M.[Michael], Endres, S.L.[Sarah L.], Laubach, Z.M.[Zachary M.], Scarbrough, K.[Kirk],
Identification of Woodland Vernal Pools with Seasonal Change PALSAR Data for Habitat Conservation,
RS(8), No. 6, 2016, pp. 490.
DOI Link 1608

Lamarche, C.[Céline], Santoro, M.[Maurizio], Bontemps, S.[Sophie], d'Andrimont, R.[Raphaël], Radoux, J.[Julien], Giustarini, L.[Laura], Brockmann, C.[Carsten], Wevers, J.[Jan], Defourny, P.[Pierre], Arino, O.[Olivier],
Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702

Irwin, K.[Katherine], Beaulne, D.[Danielle], Braun, A.[Alexander], Fotopoulos, G.[Georgia],
Fusion of SAR, Optical Imagery and Airborne LiDAR for Surface Water Detection,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711

Irwin, K.[Katherine], Braun, A.[Alexander], Fotopoulos, G.[Georgia], Roth, A.[Achim], Wessel, B.[Birgit],
Assessing Single-Polarization and Dual-Polarization TerraSAR-X Data for Surface Water Monitoring,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806

Li, S.Y.[Sheng-Yang], Tan, H.[Hong], Liu, Z.W.[Zhi-Wen], Zhou, Z.[Zhuang], Liu, Y.F.[Yun-Fei], Zhang, W.F.[Wan-Feng], Liu, K.[Kang], Qin, B.Y.[Bang-Yong],
Mapping High Mountain Lakes Using Space-Borne Near-Nadir SAR Observations,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Mahoney, C.[Craig], Merchant, M.[Michael], Boychuk, L.[Lyle], Hopkinson, C.[Chris], Brisco, B.[Brian],
Automated SAR Image Thresholds for Water Mask Production in Alberta's Boreal Region,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Chen, L.F.[Li-Fu], Zhang, P.[Peng], Xing, J.[Jin], Li, Z.H.[Zhen-Hong], Xing, X.M.[Xue-Min], Yuan, Z.H.[Zhi-Hui],
A Multi-Scale Deep Neural Network for Water Detection from SAR Images in the Mountainous Areas,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Li, Y.[Yu], Yang, Y.[Yun], Zhao, Q.H.[Quan-Hua],
Urban Riverway Extraction from High-Resolution SAR Image Based on Blocking Segmentation and Discontinuity Connection,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012

Asadi, N., Scott, K.A., Komarov, A.S., Buehner, M., Clausi, D.A.,
Evaluation of a Neural Network With Uncertainty for Detection of Ice and Water in SAR Imagery,
GeoRS(59), No. 1, January 2021, pp. 247-259.
Uncertainty, Artificial neural networks, Radar polarimetry, Sea ice, Integrated circuits, Databases, Classification, uncertainty BibRef

Zhang, J., Xing, M., Sun, G.C., Chen, J., Li, M., Hu, Y., Bao, Z.,
Water Body Detection in High-Resolution SAR Images With Cascaded Fully-Convolutional Network and Variable Focal Loss,
GeoRS(59), No. 1, January 2021, pp. 316-332.
Radar polarimetry, Feature extraction, Synthetic aperture radar, Semantics, Scattering, Remote sensing, Training, water body detection BibRef

Deng, X.L.[Xiao-Li], Wang, R.B.[Ren-Bin], Peng, F.[Fukai], Yang, Y.[Yong], Mo, N.M.[Nan-Ming],
Retracking Cryosat-2 Data in SARIn and LRM Modes for Plateau Lakes: A Case Study for Tibetan and Dianchi Lakes,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104

Pappas, O.A.[Odysseas A.], Anantrasirichai, N.[Nantheera], Achim, A.M.[Alin M.], Adams, B.A.[Byron A.],
River Planform Extraction From High-Resolution SAR Images via Generalized Gamma Distribution Superpixel Classification,
GeoRS(59), No. 5, May 2021, pp. 3942-3955.
Rivers, Synthetic aperture radar, Image segmentation, Remote sensing, Task analysis, Monitoring, Earth, synthetic aperture radar (SAR) data BibRef

Bao, L.[Linan], Lv, X.L.[Xiao-Lei], Yao, J.C.[Jing-Chuan],
Water Extraction in SAR Images Using Features Analysis and Dual-Threshold Graph Cut Model,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109

Bueso-Bello, J.L.[Jose-Luis], Martone, M.[Michele], González, C.[Carolina], Sica, F.[Francescopaolo], Valdo, P.[Paolo], Posovszky, P.[Philipp], Pulella, A.[Andrea], Rizzoli, P.[Paola],
The Global Water Body Layer from TanDEM-X Interferometric SAR Data,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112

Guo, Z.S.[Zhi-Shun], Wu, L.[Lin], Huang, Y.[Yabo], Guo, Z.W.[Zheng-Wei], Zhao, J.H.[Jian-Hui], Li, N.[Ning],
Water-Body Segmentation for SAR Images: Past, Current, and Future,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205

Hamze-Ziabari, S.M.[Seyed Mahmood], Foroughan, M.[Mehrshad], Lemmin, U.[Ulrich], Barry, D.A.[David Andrew],
Monitoring Mesoscale to Submesoscale Processes in Large Lakes with Sentinel-1 SAR Imagery: The Case of Lake Geneva,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Rey, A.[Andrea], Sarmiento, N.R.[Natalia Revollo], Frery, A.C.[Alejandro César], Delrieux, C.[Claudio],
Automatic Delineation of Water Bodies in SAR Images with a Novel Stochastic Distance Approach,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212

Tian, B.[Bin], Zhang, F.F.[Fang-Fang], Lang, F.K.[Feng-Kai], Wang, C.[Chen], Wang, C.[Chao], Wang, S.L.[Sheng-Lei], Li, J.S.[Jun-Sheng],
A Novel Water Index Fusing SAR and Optical Imagery (SOWI),
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

Yuan, D.[Da], Wang, C.[Chao], Wu, L.[Lin], Yang, X.[Xu], Guo, Z.W.[Zheng-Wei], Dang, X.Y.[Xiao-Yan], Zhao, J.H.[Jian-Hui], Li, N.[Ning],
Water Stream Extraction via Feature-Fused Encoder-Decoder Network Based on SAR Images,
RS(15), No. 6, 2023, pp. 1559.
DOI Link 2304

Pech-May, F.[Fernando], Aquino-Santos, R.[Raúl], Delgadillo-Partida, J.[Jorge],
Sentinel-1 SAR Images and Deep Learning for Water Body Mapping,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

Bertram, A., Wendleder, A., Schmitt, A., Huber, M.,
Long-term Monitoring Of Water Dynamics in the Sahel Region Using The Multi-SAR-system,
ISPRS16(B8: 313-320).
DOI Link 1610

Seppke, B.[Benjamin], Dreschler-Fischer, L.[Leonie], Brauer, M.,
The Use of Active Contours for the Detection of Coastlines in SAR images: A Modular Knowledge-based Framework,
PDF File. 1106

Seppke, B.[Benjamin], Dreschler-Fischer, L.[Leonie], Hubbe, N.[Nathanael],
Using Snakes with Asymmetric Energy Terms for the Detection of Varying-Contrast Edges in SAR Images,

Silveira, M.[Margarida], Heleno, S.[Sandra],
Classification of water regions in SAR images using level sets and non-parametric density estimation,
Water/land segmentation in SAR images using level sets,

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Reservoir Monitoring, Reservoir Usage, Water Level, Lake Level .

Last update:Aug 31, 2023 at 09:37:21