24.4.3 DEM, DSM, DTM, Generation Using Radar, SAR, IFSAR, INSAR, InSAR

Chapter Contents (Back)
DEM. DSM. Digital Elevation Map. SAR. Radar. IFSAR.
See also DEM, DSM, DTM, Generation Using LiDAR, LIDAR, Laser Data.
See also SAR, Radar Altimetry.

Ferretti, A.[Alessandro], Prati, C.[Claudio], Rocca, F.[Fabio],
Multibaseline InSAR DEM Reconstruction: The Wavelet Approach,
GeoRS(37), No. 2, March 1999, pp. 705.
IEEE Top Reference. BibRef 9903

Wimmer, C., Siegmund, R., Schwäbisch, M., Moreira, J.,
Generation of High Precision DEMs of the Wadden Sea with Airborne Interferometric SAR,
GeoRS(38), No. 5, September 2000, pp. 2234-2245.
IEEE Top Reference. 0010

Toutin, T.[Thierry],
Impact of terrain slope and aspect on radargrammetric DEM accuracy,
PandRS(57), No. 3, December 2002, pp. 228-240.
Elsevier DOI 0307
And: Erratum: PandRS(58), No. 1, June 2003, pp. 124-125.
Elsevier DOI 0307

See also Spatiotriangulation With Multisensor HR Stereo-Images. BibRef

Toutin, T.[Thierry], Zakharov, I., Omari, K.,
DEM Generation with Radarsat-2 Data without GCP,
PDF File. 1106

Toutin, T.[Thierry], Gray, L.[Laurence],
State-of-the-art of elevation extraction from satellite SAR data,
PandRS(55), No. 1, February 2000, pp. 13-33. 0004

Ansan, V., Thouvenot, E.,
Generation of a Digital Elevation Model-Based on Synthetic-Aperture Radar Airborne Stereoscopic Images: Application to Airsar Images (Hawaii),
JRS(19), No. 13, September 10 1998, pp. 2543-2559. 9810

Frolind, P.O., Ulander, L.M.H.,
Digital elevation map generation using VHF-band SAR data in forested areas,
GeoRS(40), No. 8, August 2002, pp. 1769-1776.
IEEE Top Reference. 0210

See also Ultra-Wideband SAR Interferometry. BibRef

Yun, S.H., Ji, J., Zebker, H.A., Segall, P.,
On Merging High- and Low-Resolution DEMs From TOPSAR and SRTM Using a Prediction-Error Filter,
GeoRS(43), No. 7, July 2005, pp. 1682-1690.

Eineder, M., Adam, N.,
A Maximum-Likelihood Estimator to Simultaneously Unwrap, Geocode, and Fuse SAR Interferograms From Different Viewing Geometries Into One Digital Elevation Model,
GeoRS(43), No. 1, January 2005, pp. 24-36.
IEEE Abstract. 0501

Luedeling, E.[Eike], Siebert, S.[Stefan], Buerkert, A.[Andreas],
Filling the voids in the SRTM elevation model: A TIN-based delta surface approach,
PandRS(62), No. 4, September 2007, pp. 283-294.
Elsevier DOI 0711
DEM/DTM; Radar; Satellite; Accuracy; GIS; Modeling; Algorithms; Processing BibRef

Carson, T.M.[Thomas M.],
Topographic Mapping in the Equatorial Belt Using Dualfrequency Airborne Ifsar (geosar),
PhEngRS(74), No. 8, August 2008, pp. 939-944.
WWW Link. 0804

Ferraiuolo, G.[Giancarlo], Meglio, F., Pascazio, V.[Vito], Schirinzi, G.[Gilda],
DEM Reconstruction Accuracy in Multichannel SAR Interferometry,
GeoRS(47), No. 1, January 2009, pp. 191-201.

Toutin, T.,
Impact of Radarsat-2 SAR Ultrafine-Mode Parameters on Stereo-Radargrammetric DEMs,
GeoRS(48), No. 10, October 2010, pp. 3816-3823.

Rossi, C.[Cristian], Gonzalez, F.R.[Fernando Rodriguez], Fritz, T.[Thomas], Yague-Martinez, N.[Nestor], Eineder, M.[Michael],
TanDEM-X calibrated Raw DEM generation,
PandRS(73), No. 1, September 2012, pp. 12-20.
Elsevier DOI 1210
TanDEM-X; Raw DEM; InSAR processing; SAR stereo-radargrammetry; Absolute phase offset estimation; DEM calibration BibRef

Palm, S., Maresch, A., Stilla, U.,
Investigation on Circular Mapping by FMCW-SAR on Small Airplanes,
DOI Link 1308

Fattahi, H., Amelung, F.,
DEM Error Correction in InSAR Time Series,
GeoRS(51), No. 7, 2013, pp. 4249-4259.
Atmospheric modeling; Deformable models; digital elevation model (DEM) error interferometry (InSAR) BibRef

Danudirdjo, D., Hirose, A.,
Local Subpixel Coregistration of Interferometric Synthetic Aperture Radar Images Based on Fractal Models,
GeoRS(51), No. 7, 2013, pp. 4292-4301.
Digital elevation model (DEM); synthetic aperture radar (SAR) BibRef

Danudirdjo, D., Hirose, A.,
InSAR Image Regularization and DEM Error Correction With Fractal Surface Scattering Model,
GeoRS(53), No. 3, March 2015, pp. 1427-1439.
digital elevation models BibRef

Liao, M.S.[Ming-Sheng], Jiang, H.[Houjun], Wang, Y.[Yong], Wang, T.[Teng], Zhang, L.[Lu],
Improved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal,
PandRS(80), No. 1, June 2013, pp. 72-79.
Elsevier DOI 1305
High-resolution; SAR interferometry; Topographic mapping; SRTM; Atmospheric stratification; Atmospheric turbulence BibRef

Osmanoglu, B., Dixon, T.H., Wdowinski, S.,
Three-Dimensional Phase Unwrapping for Satellite Radar Interferometry, I: DEM Generation,
GeoRS(52), No. 2, February 2014, pp. 1059-1075.
Kalman filters BibRef

Mapelli, D., Guarnieri, A.M.[A. Monti], Giudici, D.,
Generation and Calibration of High-Resolution DEM From Single-Baseline Spaceborne Interferometry: The 'Split-Swath' Approach,
GeoRS(52), No. 8, August 2014, pp. 4858-4867.
Accuracy BibRef

Gutjahr, K., Perko, R., Raggam, H., Schardt, M.,
The Epipolarity Constraint in Stereo-Radargrammetric DEM Generation,
GeoRS(52), No. 8, August 2014, pp. 5014-5022.
Accuracy BibRef

Romeiser, R., Runge, H., Suchandt, S., Kahle, R., Rossi, C., Bell, P.S.,
Quality Assessment of Surface Current Fields From TerraSAR-X and TanDEM-X Along-Track Interferometry and Doppler Centroid Analysis,
GeoRS(52), No. 5, May 2014, pp. 2759-2772.
Interferometry BibRef

Baselice, F., Ferraioli, G., Pascazio, V., Schirinzi, G.,
Contextual Information-Based Multichannel Synthetic Aperture Radar Interferometry: Addressing DEM reconstruction using contextual information,
SPMag(31), No. 4, July 2014, pp. 59-68.
Context awareness BibRef

Ray, C., Martin-Puig, C., Clarizia, M.P., Ruffini, G., Dinardo, S., Gommenginger, C., Benveniste, J.,
SAR Altimeter Backscattered Waveform Model,
GeoRS(53), No. 2, February 2015, pp. 911-919.
altimeters BibRef

Capaldo, P., Nascetti, A., Porfiri, M., Pieralice, F., Fratarcangeli, F., Crespi, M., Toutin, T.,
Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site,
PandRS(100), No. 1, 2015, pp. 60-70.
Elsevier DOI 1502
High resolution SAR imagery BibRef
Earlier: A1, A6, A5, A2, A4, A3, A7:
DSMS Generation from COSMO-SKYMED, RADARSAT-2 AND TERRASAR-X Imagery on Beauport (Canada) Test Site: Evaluation and Comparison of Different Radargrammetric Approaches,
DOI Link 1308

Capaldo, P., Crespi, M., Fratarcangeli, F., Nascetti, A., Pieralice, F.,
Radargrammetric Digital Surface Models Generation From Terrasar-x Imagery: Case Studies, Problems And Potentialities,
DOI Link 1209

Li, Y.[Yang], Hong, W.[Wen], Pottier, E.,
Topography Retrieval From Single-Pass POLSAR Data Based on the Polarization-Dependent Intensity Ratio,
GeoRS(53), No. 6, June 2015, pp. 3160-3177.
digital elevation models BibRef

Geiß, C., Klotz, M., Schmitt, A., Taubenböck, H.,
Object-Based Morphological Profiles for Classification of Remote Sensing Imagery,
GeoRS(54), No. 10, October 2016, pp. 5952-5963.
feature selection BibRef

Zeng, T.[Tao], Zhu, M.[Mao], Hu, C.[Cheng], Tian, W.M.[Wei-Ming], Long, T.[Teng],
Experimental Results and Algorithm Analysis of DEM Generation Using Bistatic SAR Interferometry With Stationary Receiver,
GeoRS(53), No. 11, November 2015, pp. 5835-5852.
digital elevation models BibRef

Zhang, X.J.[Xiao-Jie], Zeng, Q.M.[Qi-Ming], Jiao, J.[Jian], Zhang, J.F.[Jing-Fa],
Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs,
PandRS(111), No. 1, 2016, pp. 32-44.
Elsevier DOI 1601
Digital Elevation Model (DEM) BibRef

Perna, S.[Stefano], Esposito, C.[Carmen], Amaral, T.[Tiago], Berardino, P.[Paolo], Jackson, G.[Giuseppe], Moreira, J.[João], Pauciullo, A.[Antonio], Junior, E.V.[Eurico Vaz], Wimmer, C.[Christian], Lanari, R.[Riccardo],
The InSAeS4 Airborne X-Band Interferometric SAR System: A First Assessment on Its Imaging and Topographic Mapping Capabilities,
RS(8), No. 1, 2016, pp. 40.
DOI Link 1602

Satge, F.[Frédéric], Denezine, M.[Matheus], Pillco, R.[Ramiro], Timouk, F.[Franck], Pinel, S.[Sébastien], Molina, J.[Jorge], Garnier, J.[Jérémie], Seyler, F.[Frédérique], Bonnet, M.P.[Marie-Paule],
Absolute and relative height-pixel accuracy of SRTM-GL1 over the South American Andean Plateau,
PandRS(121), No. 1, 2016, pp. 157-166.
Elsevier DOI 1609
Digital elevation model BibRef

Boncori, J.P.M.[John Peter Merryman],
Caveats Concerning the Use of SRTM DEM Version 4.1 (CGIAR-CSI),
RS(8), No. 10, 2016, pp. 793.
DOI Link 1609

Shi, J.[Jun], Peng, Z.Y.[Zuo-Yong], Ren, C.Y.[Cong-Yue], Fan, L.[Ling], Zhang, X.L.[Xiao-Ling],
DEM Estimation for LASAR Based on Variational Model,
GeoRS(55), No. 2, February 2017, pp. 978-995.
digital elevation models BibRef

Gao, X.M.[Xiao-Ming], Liu, Y.L.[Yao-Lin], Li, T.[Tao], Wu, D.Q.[Dan-Qin],
High Precision DEM Generation Algorithm Based on InSAR Multi-Look Iteration,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708

Rizzoli, P.[Paola], Martone, M.[Michele], Gonzalez, C.[Carolina], Wecklich, C.[Christopher], Tridon, D.B.[Daniela Borla], Bräutigam, B.[Benjamin], Bachmann, M.[Markus], Schulze, D.[Daniel], Fritz, T.[Thomas], Huber, M.[Martin], Wessel, B.[Birgit], Krieger, G.[Gerhard], Zink, M.[Manfred], Moreira, A.[Alberto],
Generation and performance assessment of the global TanDEM-X digital elevation model,
PandRS(132), No. 1, 2017, pp. 119-139.
Elsevier DOI 1710
TanDEM-X BibRef

Dong, Y.T.[Yu-Ting], Zhang, L.[Lu], Balz, T.[Timo], Luo, H.[Heng], Liao, M.S.[Ming-Sheng],
Radargrammetric DSM generation in mountainous areas through adaptive-window least squares matching constrained by enhanced epipolar geometry,
PandRS(137), 2018, pp. 61-72.
Elsevier DOI 1802
Radargrammetry, Spaceborne SAR, High resolution, Adaptive window, Least squares matching, Epipolar geometric constraint BibRef

Lachaise, M., Fritz, T., Bamler, R.,
The Dual-Baseline Phase Unwrapping Correction Framework for the TanDEM-X Mission Part 1: Theoretical Description and Algorithms,
GeoRS(56), No. 2, February 2018, pp. 780-798.
digital elevation models, geophysical image processing, radar interferometry, remote sensing by radar, minimum cost flow (MCF) BibRef

Dong, Y.T.[Yu-Ting], Jiang, H.[Houjun], Zhang, L.[Lu], Liao, M.S.[Ming-Sheng],
An Efficient Maximum Likelihood Estimation Approach of Multi-Baseline SAR Interferometry for Refined Topographic Mapping in Mountainous Areas,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804

Zhang, S., Dong, G., Kuang, G.,
Matrix Completion for Downward-Looking 3-D SAR Imaging With a Random Sparse Linear Array,
GeoRS(56), No. 4, April 2018, pp. 1994-2006.
Arrays, Image resolution, Imaging, Linear antenna arrays, Radar imaging, Sparse matrices, Synthetic aperture radar, under-sampled data BibRef

Wessel, B.[Birgit], Huber, M.[Martin], Wohlfart, C.[Christian], Marschalk, U.[Ursula], Kosmann, D.[Detlev], Roth, A.[Achim],
Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data,
PandRS(139), 2018, pp. 171-182.
Elsevier DOI 1804
TanDEM-X, Digital Elevation Model, Kinematic GPS, Vertical accuracy, Validation BibRef

Shimada, T., Natsuaki, R., Hirose, A.,
Pixel-by-Pixel Scattering Mechanism Vector Optimization in High-Resolution PolInSAR,
GeoRS(56), No. 5, May 2018, pp. 2587-2596.
Coherence, Digital elevation models, Optimization, Silicon, Synthetic aperture radar, Digital elevation model (DEM), synthetic aperture radar (SAR) interferometry BibRef

Hackel, S.[Stefan], Gisinger, C.[Christoph], Balss, U.[Ulrich], Wermuth, M.[Martin], Montenbruck, O.[Oliver],
Long-Term Validation of TerraSAR-X and TanDEM-X Orbit Solutions with Laser and Radar Measurements,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806

Pinheiro, M., Reigber, A., Scheiber, R., Prats-Iraola, P., Moreira, A.,
Generation of Highly Accurate DEMs Over Flat Areas by Means of Dual-Frequency and Dual-Baseline Airborne SAR Interferometry,
GeoRS(56), No. 8, August 2018, pp. 4361-4390.
airborne radar, calibration, geophysical techniques, radar imaging, radar interferometry, remote sensing by radar, SAR interferometry (InSAR) BibRef

Huber, S., de Almeida, F.Q., Villano, M., Younis, M., Krieger, G., Moreira, A.,
Tandem-L: A Technical Perspective on Future Spaceborne SAR Sensors for Earth Observation,
GeoRS(56), No. 8, August 2018, pp. 4792-4807.
Feeds, Synthetic aperture radar, Azimuth, Spaceborne radar, Antenna arrays, Array signal processing, Array-fed reflector, spaceborne SAR mission BibRef

Liu, Z.W.[Zhi-Wei], Fu, H.Q.[Hai-Qiang], Zhu, J.J.[Jian-Jun], Zhou, C.[Cui], Zuo, T.Y.[Ting-Ying],
Using Dual-Polarization Interferograms to Correct Atmospheric Effects for InSAR Topographic Mapping,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Bagheri, H.[Hossein], Schmitt, M.[Michael], Zhu, X.X.[Xiao Xiang],
Fusion of TanDEM-X and Cartosat-1 elevation data supported by neural network-predicted weight maps,
PandRS(144), 2018, pp. 285-297.
Elsevier DOI 1809
TanDEM-X, Cartosat-1, Data fusion, Artificial neural network (ANN), SRTM BibRef

Terefenko, P.[Pawel], Wziatek, D.Z.[Dagmara Zelaya], Dalyot, S.[Sagi], Boski, T.[Tomasz], Lima-Filho, F.P.[Francisco Pinheiro],
A High-Precision LiDAR-Based Method for Surveying and Classifying Coastal Notches,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Baier, G., Rossi, C., Lachaise, M., Zhu, X.X., Bamler, R.,
A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X Interferograms,
GeoRS(56), No. 11, November 2018, pp. 6469-6483.
Synthetic aperture radar, Noise reduction, Spatial resolution, Remote sensing, Digital elevation models, nonlocal filtering BibRef

Dong, Y.T.[Yu-Ting], Liu, B.B.[Bao-Bao], Zhang, L.[Lu], Liao, M.S.[Ming-Sheng], Zhao, J.[Ji],
Fusion of Multi-Baseline and Multi-Orbit InSAR DEMs with Terrain Feature-Guided Filter,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Guimarães, U.S.[Ulisses Silva], da Silva Narvaes, I.[Igor], de Lourdes Bueno Trindade Galo, M.[Maria], de Queiroz da Silva, A.[Arnaldo], de Oliveira Camargo, P.[Paulo],
Radargrammetric approaches to the flat relief of the Amazon coast using COSMO-SkyMed and TerraSAR-X datasets,
PandRS(145), 2018, pp. 284-296.
Elsevier DOI 1811
Synthetic aperture radar, Radargrammetry, Amazon coastal environments, Digital surface models BibRef

Siddique, M.A., Strozzi, T., Hajnsek, I., Frey, O.,
A Case Study on the Correction of Atmospheric Phases for SAR Tomography in Mountainous Regions,
GeoRS(57), No. 1, January 2019, pp. 416-431.
Atmospheric modeling, Tomography, Synthetic aperture radar, Delays, Terrestrial atmosphere, Strain, Focusing, Atmospheric phases, tomography in mountainous regions BibRef

Chernyshov, P.[Pavel], Vrecica, T.[Teodor], Toledo, Y.[Yaron],
Inversion of Nearshore X-Band Radar Images to Sea Surface Elevation Maps,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Tian, W.M.[Wei-Ming], Zhao, Z.[Zheng], Hu, C.[Cheng], Wang, J.Y.[Jing-Yang], Zeng, T.[Tao],
GB-InSAR-Based DEM Generation Method and Precision Analysis,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Pasquetti, F.[Francesca], Bini, M.[Monica], Ciampalini, A.[Andrea],
Accuracy of the TanDEM-X Digital Elevation Model for Coastal Geomorphological Studies in Patagonia (South Argentina),
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908

d'Alessandro, M.M.[M. Mariotti], Tebaldini, S.,
Digital Terrain Model Retrieval in Tropical Forests Through P-Band SAR Tomography,
GeoRS(57), No. 9, September 2019, pp. 6774-6781.
Forestry, Tomography, Synthetic aperture radar, Laser radar, Vegetation mapping, Digital elevation models, Image resolution, tropical BibRef

Poggiali, V., Mastrogiuseppe, M., Hayes, A.G., Seu, R., Mullen, J.P., Birch, S.P.D., Raguso, M.C.,
High-Resolution Topography of Titan Adapting the Delay/Doppler Algorithm to the Cassini RADAR Altimeter Data,
GeoRS(57), No. 9, September 2019, pp. 7262-7268.
Doppler effect, Saturn, Spaceborne radar, Satellites, Radar tracking, Space vehicles, Cassini, delay/Doppler algorithm (DDA), Titan BibRef

Zhang, G.[Guo], Xu, K.[Kai], Jia, P.[Peng], Hao, X.Y.[Xiao-Yun], Li, D.R.[De-Ren],
Integrating Stereo Images and Laser Altimeter Data of the ZY3-02 Satellite for Improved Earth Topographic Modeling,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910

Vassilaki, D.I.[Dimitra I.], Stamos, A.A.[Athanassios A.],
TanDEM-X DEM: Comparative performance review employing LIDAR data and DSMs,
PandRS(160), 2020, pp. 33-50.
Elsevier DOI 2001
DEM/DTM, Global, Antarctica, ASTER, AW3D30, SRTM, TanDEM-X BibRef

Feng, S.S.[Shan-Shan], Lin, Y.[Yun], Wang, Y.P.[Yan-Ping], Yang, Y.H.[Yan-Hui], Shen, W.J.[Wen-Jie], Teng, F.[Fei], Hong, W.[Wen],
DEM Generation With a Scale Factor Using Multi-Aspect SAR Imagery Applying Radargrammetry,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Li, S.J.[Shi-Jin], Zhang, S.[Shubi], Li, T.[Tao], Gao, Y.D.[Yan-Dong], Chen, Q.F.[Qian-Fu], Zhang, X.[Xiang],
Modeling the Optimal Baseline for a Spaceborne Bistatic SAR System to Generate DEMs,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003

Shiroma, G.H.X., Lavalle, M.,
Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms,
GeoRS(58), No. 6, June 2020, pp. 3754-3777.
Digital elevation models (DEMs), forest height, interferometry, L-band, SAR BibRef

Labowski, M.[Michal], Kaniewski, P.[Piotr],
Multi-Instance Inertial Navigation System for Radar Terrain Imaging,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

González, C.[Carolina], Bachmann, M.[Markus], Bueso-Bello, J.L.[José-Luis], Rizzoli, P.[Paola], Zink, M.[Manfred],
A Fully Automatic Algorithm for Editing the TanDEM-X Global DEM,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Dong, Y.T.[Yu-Ting], Zhang, L.[Lu], Jiang, H.J.[Hou-Jun], Balz, T.[Timo], Liao, M.S.[Ming-Sheng],
Cascaded multi-baseline interferometry with bistatic TerraSAR-X/TanDEM-X observations for DEM generation,
PandRS(171), 2021, pp. 224-237.
Elsevier DOI 2012
Multi-baseline InSAR, DEM, Cascaded processing, Phase unwrapping, Bistatic, Fusion BibRef

Carrer, L., Zancanella, F., Bruzzone, L.,
Mars Surface Imaging by Exploiting Off-Nadir Radar Sounding Data,
GeoRS(59), No. 4, April 2021, pp. 2951-2961.
Radar imaging, Rough surfaces, Surface roughness, Laser radar, Digital elevation models, Surface waves, surface roughness BibRef

Uemoto, J.[Jyunpei],
Refinement of interferometric SAR parameters using digital terrain model as an external reference,
PandRS(175), 2021, pp. 34-43.
Elsevier DOI 2105
InSAR, DSM, DTM, GCP, Parameter refinement BibRef

Chang, F.G.[Fa-Guang], Li, D.X.[De-Xin], Dong, Z.[Zhen], Huang, Y.[Yang], He, Z.H.[Zhi-Hua], Chen, X.[Xing],
Elevation Spatial Variation Analysis and Compensation in GEO SAR Imaging,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
Elevation, 3D from geosynchronous SAR system, need rapid anaysis. BibRef

Qi, Y.[Yang], Wang, Y.[Yu], Hong, J.[Jun], Du, S.Y.[Shao-Yan],
Additional Reference Height Error Analysis for Baseline Calibration Based on a Distributed Target DEM in TwinSAR-L,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Schneider, B., Wortmeyer, E., Schmitz, S., Thiele, A., Havel, P., Dirks, H.,
Evaluating Different Water-land-boundary Approximations to Improve SAR-derived Digital Elevation Models,
ISPRS21(B1-2021: 51-56).
DOI Link 2201

Weber, C.[Christoph], Eggert, M.[Marius], Rodrigo-Comino, J.[Jesús], Udelhoven, T.[Thomas],
Transforming 2D Radar Remote Sensor Information from a UAV into a 3D World-View,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205

Wang, J.H.[Jing-Hui], Gong, K.[Ke], Balz, T.[Timo], Haala, N.[Norbert], Soergel, U.[Uwe], Zhang, L.[Lu], Liao, M.S.[Ming-Sheng],
Radargrammetric DSM Generation by Semi-Global Matching and Evaluation of Penalty Functions,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Mao, W.F.[Wen-Fei], Liu, G.X.[Guo-Xiang], Wang, X.W.[Xiao-Wen], Xie, Y.K.[Ya-Kun], He, X.X.[Xiao-Xing], Zhang, B.[Bo], Xiang, W.[Wei], Wu, S.Y.[Shuai-Ying], Zhang, R.[Rui], Fu, Y.[Yin], Pirasteh, S.[Saied],
Using Range Split-Spectrum Interferometry to Reduce Phase Unwrapping Errors for InSAR-Derived DEM in Large Gradient Region,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206

Li, T.[Tao], Fan, J.[Jun], Liu, Y.Y.[Yan-Yang], Lu, R.F.[Rui-Feng], Hou, Y.S.[Yu-Sheng], Lu, J.[Jing],
An Improved Independent Parameter Decomposition Method for Gaofen-3 Surveying and Mapping Calibration,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
refine satellite DEM. BibRef

Yang, C.R.[Cong-Rui], Zhao, F.J.[Feng-Jun], Wang, C.L.[Chun-Le], Wang, M.M.[Meng-Meng], Liu, X.Q.[Xiu-Qing], Wang, R.[Robert],
A Novel Topography Retrieval Algorithm Based on Single-Pass Polarimetric SAR Data and Terrain Dependent Error Analysis,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208

Wang, J.[Jian], Lv, X.L.[Xiao-Lei], Huang, Z.[Zenghui], Fu, X.[Xikai],
An Epipolar HS-NCC Flow Algorithm for DSM Generation Using GaoFen-3 Stereo SAR Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301

Zhang, B.[Bin], Xie, F.[Futai], Wang, L.L.[Liu-Liu], Li, S.[Shuang], Wei, L.D.[Li-Deng], Feng, L.[Liang],
Airborne Millimeter-Wave InSAR Terrain Mapping Experiments Based on Automatic Extraction and Interferometric Calibration of Tie-Points,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302

Mou, J.W.[Jing-Wen], Wang, Y.[Yu], Hong, J.[Jun], Wang, Y.[Yachao], Wang, A.[Aichun],
Baseline Calibration of L-Band Spaceborne Bistatic SAR TwinSAR-L for DEM Generation,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

Shen, X.D.[Xing-Dong], Zhou, C.[Cui], Zhu, J.J.[Jian-Jun],
Improving the Accuracy of TanDEM-X Digital Elevation Model Using Least Squares Collocation Method,
RS(15), No. 14, 2023, pp. 3695.
DOI Link 2307

Li, X.S.[Xiao-Shuai], Lv, X.L.[Xiao-Lei], Huang, Z.[Zenghui],
Underlying Topography Estimation over Forest Using Maximum a Posteriori Inversion with Spaceborne Polarimetric SAR Interferometry,
RS(16), No. 6, 2024, pp. 948.
DOI Link 2403

Hu, Z.[Zhi], Gui, R.[Rong], Hu, J.[Jun], Fu, H.Q.[Hai-Qiang], Yuan, Y.[Yibo], Jiang, K.[Kun], Liu, L.Q.[Li-Qun],
InSAR Digital Elevation Model Void-Filling Method Based on Incorporating Elevation Outlier Detection,
RS(16), No. 8, 2024, pp. 1452.
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Mercer, B.[Bryan],
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
DEM, DSM, DTM, Generation Using LiDAR, LIDAR, Laser Data .

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