23.4 Terrain Extraction, DEM, DTM, DSM

Chapter Contents (Back)
Terrain. DTM. Digital Terrain Map. DEM. DSM. Digital Elevation Map. Many other related papers in
See also Three-Dimensional Descriptions -- General.
See also Triangulated Surface Models, Mesh Models, Mesh Descriptions, 3-D Meshes.
See also Stereo and Surface Models.
See also Bathymetric Mapping, Analysis, Underwater Terrain. UAV sourced:
See also DEM, DSM, DTM, Generation Using UAV.
See also DEM, DSM, DTM, Generation Using Radar, SAR, IFSAR, INSAR, InSAR.
See also DEM, DSM, DTM, Generation Using LiDAR, LIDAR, Laser Data.
See also DEM, DSM, DTM, Generation in Urban Areas.
See also Landform Analysis, Landform Description.
See also Terrain Analysis of Mars, Craters, Minerals.

Hord, R.M.[R. Michael], Gramenopoulos, N.[Nicholas],
Edge Detection and Regionalized Terrain Classification from Satellite Photography,
CGIP(4), No. 2, June 1975, pp. 184-199.
Elsevier DOI BibRef 7506

Fowler, R.J., Little, J.J.,
Automatic Extraction of Irregular Network Digital Terrain Models,
Computer Graphics(13), 1979, pp. 199-207. BibRef 7900

Little, J.J.[James J.], Shi, P.[Ping],
Ordering Points for Incremental TIN Construction from DEMs,
GeoInfo(7), No. 1, March 2003, pp. 33-53.
DOI Link 0304

Brookshire, G.[Greg], Nadler, M.[Morton], Lee, C.[Choon],
Automated Stereophotogrammetry,
CVGIP(52), No. 2, November 1990, pp. 276-296.
Elsevier DOI Discusses a complete stereo system (terrain data) using edges, pyramids, hexagonal grids, interpolation, gray-scale correlation (left to right to left). Complete results. BibRef 9011

Walton, D.J.,
Terrain Modelling with B-Spline Type Surfaces Defined on Curved Knot Lines,
IVC(5), No. 1, February 1987, pp. 37-43.
Elsevier DOI BibRef 8702

Dye, R.[Robert],
Stereoscopic determination of terrain elevation,
US_Patent5,309,522, May 3, 1994
WWW Link. ERIM system. BibRef 9405

Arakawa, K., Krotkov, E.,
Fractal Modeling of Natural Terrain: Analysis and Surface Reconstruction with Range Data,
GMIP(58), No. 5, September 1996, pp. 413-436. 9611
Fractal surface reconstruction for modeling natural terrain,
Fractal Surface Reconstruction with Uncertainty Estimation: Modeling Natural Terrain,
CMU-CS-TR-92-194, October 1992. BibRef

Bolstad, P.V., Stowe, T.,
An Evaluation of DEM Accuracy: Elevation, Slope, and Aspect,
PhEngRS(60), No. 11, November 1994, pp. 1327-1332. BibRef 9411

Kamgar-Parsi, B., Narayanan, P.J., Davis, L.S.,
Surface Reconstruction (of Rough Terrain) in Range Image Shadows,
PRL(13), 1992, pp. 657-667. BibRef 9200

Kuo, S.J.[Shih-Jong],
Automated analytic stereo comparator,
US_Patent5,606,627, Feb 25, 1997
WWW Link. Elevation data. BibRef 9702

Bhanu, B.[Bir], Symosek, P.[Peter], Das, S.[Subhodev],
Analysis of Terrain Using Multispectral Images,
PR(30), No. 2, February 1997, pp. 197-215.
Elsevier DOI 9704

Toutin, T.,
Elevation modelling from satellite visible and infrared (VIR) data,
JRS(22), No. 5, March 2001, pp. 1097- 1125. 0105

Toutin, T.[Thierry],
DEM from stereo Landsat 7 ETM+ data over high relief areas,
JRS(23), No. 10, May 2002, pp. 2133-2139.
WWW Link. 0205

See also Block Bundle Adjustment of Landsat 7 ETM+ Images over Mountainous Areas. BibRef

Toutin, T.[Thierry],
Three-dimensional topographic mapping with ASTER stereo data in rugged topography,
GeoRS(40), No. 10, October 2002, pp. 2241-2247.
IEEE Top Reference. 0301

Toutin, T.[Thierry],
Spatiotriangulation With Multisensor HR Stereo-Images,
GeoRS(44), No. 2, February 2006, pp. 456-462.

See also Impact of terrain slope and aspect on radargrammetric DEM accuracy. BibRef

Toutin, T.[Thierry],
Generation of DSMs from SPOT-5 in-track HRS and across-track HRG stereo data using spatiotriangulation and autocalibration,
PandRS(60), No. 3, May 2006, pp. 170-181.
Elsevier DOI 0610
Mapping; DEM/DTM; SPOT5; Stereoscopic; Block-bundle; Calibration; Accuracy; Performance BibRef

Toutin, T.[Thierry],
Comparison of 3D Physical and Empirical Models for Generating DSMs from Stereo HR Images,
PhEngRS(72), No. 5, May 2006, pp. 597-604.
WWW Link. 0610
A comparison of 3D physical and empirical models for stereo-processing and the generation of digital surface models from different stereo, high-resolution sensors: Ikonos and QuickBird. BibRef

Zhu, X.K.[Xiao-Kun], Toutin, T.,
Object-Oriented Interpretation and Classification with Airborne LiDAR 3D Data,

Schenk, T.,
Towards Automatic Aerial Triangulation,
PandRS(52), No. 3, June 1997, pp. 110-121. 9708

Lee, I.Y.[Imp-Yeong], Schenk, T.[Toni],
Perceptual Organization of 3D Surface Points,
PCV02(A: 193). 0305

Tang, L., Braun, J., Debitsch, R.,
Automatic Aerotriangulation: Concept, Realization and Results,
PandRS(52), No. 3, June 1997, pp. 122-131.
Elsevier DOI 9708
Award, ISPRS. BibRef

Krupnik, A., Schenk, T.,
Experiments with Matching in the Object Space for Aerotriangulation,
PandRS(52), No. 4, August 1997, pp. 160-168. 9709

McIntosh, K.[Kerry], Krupnik, A.[Amnon],
Integration of laser-derived DSMs and matched image edges for generating an accurate surface model,
PandRS(56), No. 3, April 2002, pp. 167-176.
HTML Version. 0205

Morgado, A., Dowman, I.J.,
A Procedure for Automatic Absolute Orientation Using Aerial Photographs and a Map,
PandRS(52), No. 4, August 1997, pp. 169-182. 9709

Hsueh, W.J., Antonsson, E.K.,
Automatic High-Resolution Optoelectronic Photogrammetric 3D Surface Geometry Acquisition-System,
MVA(10), No. 3, 1997, pp. 98-113.
Springer DOI 9709

Sum, J., Leung, C.S., Chan, L.W., Xu, L.,
Yet Another Algorithm Which Can Generate Topography Map,
TNN(8), No. 5, September 1997, pp. 1204-1207. 9709

Cignoni, P., Puppo, E., Scopigno, R.,
Representation and Visualization of Terrain Surfaces at Variable Resolution,
VC(13), No. 5, 1997, pp. 199-217. 9709

Du, C.J.,
An Interpolation Method for Grid-Based Terrain Modeling,
Computer Journal(39), No. 10, 1996, pp. 837-843. 9710

Hung, Y.P., Chen, C.S., Hung, K.C., Chen, Y.S., Fuh, C.S.,
Multipass Hierarchical Stereo Matching for Generation of Digital Terrain Models from Aerial Images,
MVA(10), No. 5-6, April 1998, pp. 280-291.
Springer DOI 9805

de Berg, M.[Mark], Dobrindt, K.T.G.[Katrin T.G.],
On Levels of Detail in Terrains,
GMIP(60), No. 1, January 1998, pp. 1-12. BibRef 9801

Bribiesca, E.[Ernesto],
Digital Elevation Model Data Analysis Using the Contact Surface Area,
GMIP(60), No. 2, March 1998, pp. 166-172.
See also easy measure of compactness for 2D and 3D shapes, An.
See also Measuring 3-D Shape Similarity Using Progressive Transformations. BibRef 9803

Rufino, G., Moccia, A., Esposito, S.,
DEM Generation by Means of ERS Tandem Data,
GeoRS(36), No. 6, November 1998, pp. 1905.
IEEE Top Reference. BibRef 9811

Pfeifer, N.[Norbert],
A subdivision algorithm for smooth 3D terrain models,
PandRS(59), No. 3, May 2005, pp. 115-127.
Elsevier DOI 0509

Briese, C.[Christian], Pfeifer, N.[Norbert], Dorninger, P.[Peter],
Applications of the Robust Interpolation for DTM Determination,
PCV02(A: 55). 0305

Hsia, J.S.[Jung-Sheng], Newton, I.[Ian],
A Method for the Automated Production of Digital Terrain Models Using a Combination of Feature Points, Grid Points, and Filling Back Points,
PhEngRS(65), No. 6, June 1999, pp. 713. BibRef 9906

Hodgson, M.E.[Michael E.], Gaile, G.L.[Gary L.],
Cartographic Modeling Approach for Surface Orientation-Related Applications,
PhEngRS(65), No. 1, January 1999, pp. 85-96. BibRef 9901

Lohani, B., Mason, D.C.,
Construction of a Digital Elevation Model of the Holderness Coast using the waterline method and Airborne Thematic Mapper data,
JRS(20), No. 3, February 1999, pp. 593 BibRef 9902

Bartels, M.[Marc], Wei, H.[Hong], Mason, D.C.[David C.],
DTM Generation from LIDAR Data using Skewness Balancing,
ICPR06(I: 566-569).

Sansosti, E., Lanari, R., Fornaro, G., Franceschetti, G., Tesauro, M., Puglisi, G., Coltelli, M.,
Digital elevation model generation using ascending and descending ERS-1/ERS-2 tandem data,
JRS(20), No. 8, May 1999, pp. 1527. BibRef 9905

McArthur, D.E.[Donald E.], Fuentes, R.W.[Robert W.], Devaragan, V.[Venkat],
Generation of Hierarchical Multiresolution Terrain Databases Using Wavelet Filtering,
PhEngRS(66), No. 3, March 2000, pp. 287. 0003

Endreny, T.A., Wood, E.F.[Eric F.], Hsu, A.,
Correction of Errors in SPOT-Derived DEM's Using GTOPO30 Data,
GeoRS(38), No. 3, May 2000, pp. 1234-1241.
IEEE Top Reference. 0006

Doucette, P.[Peter], Beard, K.[Kate],
Exploring the Capability of Some GIS Surface Interpolators for DEM Gap Fill,
PhEngRS(66), No. 7, July 2000, pp. 881. The evaluation tends to favor the use of the splining function when interpolating for the kind of gaps and sample configurations considered. 0008

de Floriani, L.[Leila], Magillo, P.[Paola], Puppo, E.[Enrico],
VARIANT: A System for Terrain Modeling at Variable Resolution,
GeoInfo(4), No. 3, October 2000, pp. 287-315.
DOI Link 0011

See also Horizon Computation on a Hierarchical Triangulated Terrain Model. BibRef

Anderson, J.M.M., Al Qatshan, A.S.,
Matched filtering-based estimation of ground elevation using laser altimetry,
GeoRS(39), No. 10, October 2001, pp. 2168-2175.
IEEE Top Reference. 0111

Sim, D.G.[Dong-Gyu], Park, R.H.[Rae-Hong],
Localization based on DEM matching using multiple aerial image pairs,
IP(11), No. 1, January 2002, pp. 52-55.

Gonçalves, G., Julien, P., Riazanoff, S., Cervelle, B.,
Preserving cartographic quality in DTM interpolation from contour lines,
PandRS(56), No. 3, April 2002, pp. 210-220.
HTML Version. 0205

Almansa, A., Cao, F., Gousseau, Y., Rouge, B.,
Interpolation of digital elevation models using AMLE and related methods,
GeoRS(40), No. 2, February 2002, pp. 314-325.
IEEE Top Reference. 0205

Whitaker, R.T., Juarez-Valdes, E.L.,
On the reconstruction of height functions and terrain maps from dense range data,
IP(11), No. 7, July 2002, pp. 704-716.

Whitaker, R.T.,
A Level-Set Approach to 3D Reconstruction from Range Data,
IJCV(29), No. 3, September 1998, pp. 203-231.
DOI Link 9811

See also Level-Set Approach to Image Blending, A. BibRef

Whitaker, R.T.,
Maximum Likelihood Surface Estimation,
PDF File. 0209
Reconstructing Terrain Maps from Dense Range Data,
ICIP01(II: 165-168).

Altmaier, A.[Angela], Kany, C.[Christoph],
Digital surface model generation from CORONA satellite images,
PandRS(56), No. 4, July 2002, pp. 221-235.
HTML Version. 0207

Lee, H.Y.[Hae-Yeoun], Kim, T.J.[Tae-Jung], Park, W.[Wonkyu], Lee, H.K.[Heung Kyu],
Extraction of digital elevation models from satellite stereo images through stereo matching based on epipolarity and scene geometry,
IVC(21), No. 9, September 2003, pp. 789-796.
Elsevier DOI 0308

Rahmes, M.D.[Mark Donald], Karp, J.P.[John Philip],
Automated method for making a topographical model and related system,
US_Patent6,654,690, Nov 25, 2003
WWW Link. Process randomly spaced data to generate gridded data. BibRef 0311

Ham, T.E.[Todd E.], Andrews, A.[Aaron], Bleeze, B.[Brian],
System and method for identifying tie point collections used in imagery,
US_Patent6,707,464, Mar 16, 2004
WWW Link. BibRef 0403

Gousie, M.B.[Michael B.], Franklin, W.R.[William Randolph],
Augmenting Grid-Based Contours to Improve Thin-Plate DEM Generation,
PhEngRS(71), No. 1, January 2005, pp. 69-81. Gradient paths and intermediate contours improve thin plate DEM approximations from grid-based contour data.
WWW Link. 0509

Bonin, O.[Olivier], Rousseaux, F.[Frederic],
Digital Terrain Model Computation from Contour Lines: How to Derive Quality Information from Artifact Analysis,
GeoInfo(9), No. 3, September 2005, pp. 253-268.
Springer DOI 0509

Maire, C., Datcu, M.,
Earth observation image and DEM information aggregation for realistic 3-D visualization of natural landscapes,
GeoRS(43), No. 11, November 2005, pp. 2676-2683.

Bouillon, A.[Aurélie], Bernard, M.[Marc], Gigord, P.[Patrick], Orsoni, A.[Alain], Rudowski, V.[Véronique], Baudoin, A.[Alain],
SPOT 5 HRS geometric performances: Using block adjustment as a key issue to improve quality of DEM generation,
PandRS(60), No. 3, May 2006, pp. 134-146.
Elsevier DOI 0610
SPOT; HRS; stereoscopic; geometric; performance; calibration; monitoring; block; adjustment; DEM; accuracy BibRef

Kornus, W., Alamús, R., Ruiz, A., Talaya, J.,
DEM generation from SPOT-5 3-fold along track stereoscopic imagery using autocalibration,
PandRS(60), No. 3, May 2006, pp. 147-159.
Elsevier DOI 0610
SPOT; Bundle adjustment; Autocalibration; DEM; Accuracy BibRef

Zebedin, L.[Lukas], Klaus, A.[Andreas], Gruber-Geymayer, B.[Barbara], Karner, K.[Konrad],
Towards 3D map generation from digital aerial images,
PandRS(60), No. 6, September 2006, pp. 413-427.
Elsevier DOI 0610
Aerial triangulation; Dense image matching; Information fusion; True ortho image BibRef

Olson, C.F.[Clark F.], Abi-Rached, H.[Habib],
Wide-baseline stereo vision for terrain mapping,
MVA(21), No. 5, August 2010, pp. 713-725.
WWW Link. 1011

Lenk, U.[Ulrich], Heipke, C.[Christian],
The Radial Topology Algorithm: A New Approach for Deriving 2.5D GIS Data Models,
GeoInfo(10), No. 4, December 2006, pp. 447-468.
Springer DOI 0703

Chen, Q.[Qi], Gong, P.[Peng], Baldocchi, D.[Dennis], Xie, G.X.[Geng-Xin],
Filtering Airborne Laser Scanning Data with Morphological Methods,
PhEngRS(73), No. 2, February 2007, pp. 175-186.
WWW Link. 0704
A new method for filtering laser scanning data based on morphological methods without slope restrictions, and a method to fill in missing data voids. BibRef

Tsutsui, K., Rokugawa, S., Nakagawa, H., Miyazaki, S., Cheng, C.T., Shiraishi, T., Yang, S.D.,
Detection and Volume Estimation of Large-Scale Landslides Based on Elevation-Change Analysis Using DEMs Extracted From High-Resolution Satellite Stereo Imagery,
GeoRS(45), No. 6, June 2007, pp. 1681-1696.

Liao, M., Wang, T., Lu, L., Zhou, W., Li, D.,
Reconstruction of DEMs From ERS-1/2 Tandem Data in Mountainous Area Facilitated by SRTM Data,
GeoRS(45), No. 7, July 2007, pp. 2325-2335.

Poon, J.[Joanne], Fraser, C.S.[Clive S.], Zhang, C.S.[Chun-Sun],
Digital Surface Models from High-Resolution Satellite Imagery,
PhEngRS(73), No. 11, November 2007, pp. 1225-1232.
WWW Link. 0709
An evaluation of commercial-off-the-shelf systems for DEM extraction from high-resolution satellite imagery with comparisons to SRTM. BibRef

Zhang, C.S.[Chun-Sun], Fraser, C.S.[Clive S.],
Generation of Digital Surface Model from High Resolution Satellite Imagery,
ISPRS08(B1: 785 ff).
PDF File. 0807

Maddy, E.S., Barnet, C.D.,
Vertical Resolution Estimates in Version 5 of AIRS Operational Retrievals,
GeoRS(46), No. 8, August 2008, pp. 2375-2384.

Galiatsatos, N.[Nikolaos], Donoghue, D.N.M.[Daniel N. M.], Philip, G.[Graham],
High Resolution Elevation Data Derived from Stereoscopic Corona Imagery with Minimal Ground Control: An Approach Using Ikonos and Srtm Data,
PhEngRS(74), No. 9, September 2008, pp. 1093-1106.
WWW Link. 0804
A methodology to create a high quality DEM from CORONA imagery using horizontal ground control derived from Ikonos space imagery and vertical ground control from map-based contour lines. BibRef

Höhle, J.[Joachim],
DEM Generation Using a Digital Large Format Frame Camera,
PhEngRS(75), No. 1, January 2009, pp. 87-96.
WWW Link. 0902
On the basis of several tests with a digital, large format frame camera and discussions on the recent innovations in hardware and software, the current status in automated photogrammetric DEM generation is presented. BibRef

Milledge, D.G., Lane, S.N., Warburton, J.,
Optimization of Stereo-Matching Algorithms Using Existing DEM Data,
PhEngRS(75), No. 3, March 2009, pp. 323-333.
WWW Link. 0903
Stereo, Matching. A new method that uses existing digital elevation data to identify errors in elevation models and optimize the stereo matching algorithms that generate them. BibRef

Wang, J.F., Christakos, G., Hu, M.G.,
Modeling Spatial Means of Surfaces With Stratified Nonhomogeneity,
GeoRS(47), No. 12, December 2009, pp. 4167-4174.

Lee, P.J., Effendi, S.[Sutono],
Nongeometric Distortion Smoothing Approach for Depth Map Preprocessing,
MultMed(13), No. 2, 2011, pp. 246-254.

López, D.H.[David Hernández], García, B.F.[Beatriz Felipe], Piqueras, J.G.[José González], Alcázar, G.V.[Guillermo Villa],
An approach to the radiometric aerotriangulation of photogrammetric images,
PandRS(66), No. 6, November 2011, pp. 883-893.
Elsevier DOI 1112
Aerial images; Radiometric aerotriangulation; Calibration; Atmospheric correction; Bidirectional effects; Kernel-driven models BibRef

Fujisada, H., Urai, M., Iwasaki, A.,
Advanced Methodology for ASTER DEM Generation,
GeoRS(49), No. 12, December 2011, pp. 5080-5091.

See also ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD). BibRef

Urai, M., Tachikawa, T., Fujisada, H.,
Data Acquisition Strategies for ASTER Global DEM Generation,
AnnalsPRS(I-4), No. 2012, pp. 199-202.
HTML Version. 1209

Fujisada, H., Urai, M., Iwasaki, A.,
Technical Methodology for ASTER Global DEM,
GeoRS(50), No. 10, October 2012, pp. 3725-3736.

See also ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD). BibRef

Honkavaara, E.[Eija], Markelin, L.[Lauri], Rosnell, T.[Tomi], Nurminen, K.[Kimmo],
Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry,
PandRS(67), No. 1, January 2012, pp. 13-26.
Elsevier DOI 1202
Point cloud; Radiometry; Matching; Geometry; Photogrammetry BibRef

DeVore, R.[Ronald], Petrova, G.[Guergana], Hielsberg, M.[Matthew], Owens, L.[Luke], Clack, B.[Billy], Sood, A.[Alok],
Processing Terrain Point Cloud Data,
SIIMS(6), No. 1, 2013, pp. 1-31.
DOI Link 1304

Robinson, N.[Natalie], Regetz, J.[James], Guralnick, R.P.[Robert P.],
EarthEnv-DEM90: A nearly-global, void-free, multi-scale smoothed, 90m digital elevation model from fused ASTER and SRTM data,
PandRS(87), No. 1, 2014, pp. 57-67.
Elsevier DOI 1402
Global Digital Elevation Model (DEM) BibRef

Su, Y.J.[Yan-Jun], Guo, Q.H.[Qing-Hua],
A practical method for SRTM DEM correction over vegetated mountain areas,
PandRS(87), No. 1, 2014, pp. 216-228.
Elsevier DOI 1402
Digital elevation model (DEM) BibRef

Jang, W.S.[Woo-Seok], Ho, Y.S.[Yo-Sung],
Efficient depth map generation with occlusion handling for various camera arrays,
SIViP(8), No. 2, February 2014, pp. 287-297.
WWW Link. 1402

Jang, W.S.[Woo-Seok], Ho, Y.S.[Yo-Sung],
Discontinuity preserving disparity estimation with occlusion handling,
JVCIR(25), No. 7, 2014, pp. 1595-1603.
Elsevier DOI 1410
Distance transform BibRef

Grumpe, A.[Arne], Wöhler, C.[Christian],
Recovery of elevation from estimated gradient fields constrained by digital elevation maps of lower lateral resolution,
PandRS(94), No. 1, 2014, pp. 37-54.
Elsevier DOI 1407
DEM/DTM generation BibRef

Fan, W.L.[Wei-Liang], Chen, J.M., Ju, W.M.[Wei-Min], Zhu, G.L.[Gao-Long],
GOST: A Geometric-Optical Model for Sloping Terrains,
GeoRS(52), No. 9, September 2014, pp. 5469-5482.
terrain mapping BibRef

Fan, Y.C.[Yuan-Chao], Koukal, T.[Tatjana], Weisberg, P.J.[Peter J.],
A sun-crown-sensor model and adapted C-correction logic for topographic correction of high resolution forest imagery,
PandRS(96), No. 1, 2014, pp. 94-105.
Elsevier DOI 1410
Diffuse radiation BibRef

Lee, C.[Changno], Oh, J.[Jaehong], Hong, C.H.[Chang-Hee], Youn, J.[Junhee],
Automated Generation of a Digital Elevation Model Over Steep Terrain in Antarctica From High-Resolution Satellite Imagery,
GeoRS(53), No. 3, March 2015, pp. 1186-1194.
digital elevation models BibRef

Chen, C.F.[Chuan-Fa], Li, Y.Y.[Yan-Yan], Yan, C.Q.[Chang-Qing], Dai, H.L.[Hong-Lei], Liu, G.L.[Guo-Lin],
A Robust Algorithm of Multiquadric Method Based on an Improved Huber Loss Function for Interpolating Remote-Sensing-Derived Elevation Data Sets,
RS(7), No. 3, 2015, pp. 3347-3371.
DOI Link 1504

Chen, C.F.[Chuan-Fa], Li, Y.Y.[Yan-Yan], Zhao, N.[Na], Yan, C.Q.[Chang-Qing],
Robust Interpolation of DEMs From Lidar-Derived Elevation Data,
GeoRS(56), No. 2, February 2018, pp. 1059-1068.
digital elevation models, geophysical image processing, interpolation, iterative methods, optical radar, surface fitting BibRef

Chen, C.F.[Chuan-Fa], Li, Y.Y.[Yan-Yan],
A Fast Global Interpolation Method for Digital Terrain Model Generation from Large LiDAR-Derived Data,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906

Chen, Q.T.[Qi-Ting], Jia, L.[Li], Hutjes, R.[Ronald], Menenti, M.[Massimo],
Estimation of Aerodynamic Roughness Length over Oasis in the Heihe River Basin by Utilizing Remote Sensing and Ground Data,
RS(7), No. 4, 2015, pp. 3690-3709.
DOI Link 1505

Chen, Q.[Qi], Wang, H.[Huan], Zhang, H.C.[Han-Chao], Sun, M.W.[Ming-Wei], Liu, X.G.[Xiu-Guo],
A Point Cloud Filtering Approach to Generating DTMs for Steep Mountainous Areas and Adjacent Residential Areas,
RS(8), No. 1, 2016, pp. 71.
DOI Link 1602

Al-Rawabdeh, A.[Abdulla], He, F.N.[Fang-Ning], Moussa, A.[Adel], El-Sheimy, N.[Naser], Habib, A.[Ayman],
Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition,
RS(8), No. 2, 2016, pp. 95.
DOI Link 1603

Shean, D.E.[David E.], Alexandrov, O.[Oleg], Moratto, Z.M.[Zachary M.], Smith, B.E.[Benjamin E.], Joughin, I.R.[Ian R.], Porter, C.[Claire], Morin, P.[Paul],
An automated, open-source pipeline for mass production of digital elevation models (DEMs) from very-high-resolution commercial stereo satellite imagery,
PandRS(116), No. 1, 2016, pp. 101-117.
Elsevier DOI 1604
WorldView BibRef

Hartmann, W.[Wilfried], Havlena, M.[Michal], Schindler, K.[Konrad],
Recent developments in large-scale tie-point matching,
PandRS(115), No. 1, 2016, pp. 47-62.
Elsevier DOI 1604
Image matching BibRef

Li, H.F.[Hui-Fang], Xu, L.M.[Li-Ming], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei],
A general variational framework considering cast shadows for the topographic correction of remote sensing imagery,
PandRS(117), No. 1, 2016, pp. 161-171.
Elsevier DOI 1605
Topographic correction BibRef

Luethje, F.[Fritjof], Tiede, D.[Dirk], Eisank, C.[Clemens],
Terrain Extraction in Built-Up Areas from Satellite Stereo-Imagery-Derived Surface Models: A Stratified Object-Based Approach,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702

Zhang, Y.F.[Yan-Feng], Zhang, Y.J.[Yong-Jun], Mo, D.[Delin], Zhang, Y.[Yi], Li, X.[Xin],
Direct Digital Surface Model Generation by Semi-Global Vertical Line Locus Matching,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704

Che, E.[Erzhuo], Olsen, M.J.[Michael J.],
Fast ground filtering for TLS data via Scanline Density Analysis,
PandRS(129), No. 1, 2017, pp. 226-240.
Elsevier DOI 1706
Ground, filtering BibRef

Noh, M.J.[Myoung-Jong], Howat, I.M.[Ian M.],
The Surface Extraction from TIN based Search-space Minimization (SETSM) algorithm,
PandRS(129), No. 1, 2017, pp. 55-76.
Elsevier DOI 1706
Stereophotogrammetric BibRef

Dominik, W.A.[Wojciech A.],
Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706

Li, X.H.[Xing-Hua], Shen, H.F.[Huan-Feng], Feng, R.[Ruitao], Li, J.[Jie], Zhang, L.P.[Liang-Pei],
DEM generation from contours and a low-resolution DEM,
PandRS(134), No. Supplement C, 2017, pp. 135-147.
Elsevier DOI 1712
Contours, Dictionary learning, Digital elevation model (DEM), Sparse representation, Spatial regularization BibRef

Liu, X.W.[Xing-Wei], Wang, N.[Ning], Shao, J.L.[Jing-Li], Chu, X.F.[Xue-Feng],
An Automated Processing Algorithm for Flat Areas Resulting from DEM Filling and Interpolation,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Rupnik, E.[Ewelina], Pierrot-Deseilligny, M.[Marc], Delorme, A.[Arthur],
3D reconstruction from multi-view VHR-satellite images in MicMac,
PandRS(139), 2018, pp. 201-211.
Elsevier DOI 1804
VHR-satellite imagery, Multi-view, Bundle block adjustment, Dense image matching, Depth map fusion BibRef

Wu, B.[Bo], Liu, W.C.[Wai Chung], Grumpe, A.[Arne], Wöhler, C.[Christian],
Construction of pixel-level resolution DEMs from monocular images by shape and albedo from shading constrained with low-resolution DEM,
PandRS(140), 2018, pp. 3-19.
Elsevier DOI 1805
Shape And Albedo From Shading (safs) For Pixel-level Dem Generation From Monocular Images Constrained By Low-resolution Dem,
ISPRS16(B4: 521-527).
DOI Link 1610
Moon, DEM, Shape and albedo from shading, Monocular image, LRO NAC BibRef

Lenoch, M.[Malte], Biebrach, P.[Pia], Grumpe, A.[Arne], Wöhler, C.[Christian],
Multi-view Shape from Shading Constrained by Stereo Image Analysis,
Springer DOI 1711

Yang, X.Y.[Xiao-Yan], Li, L.[Long], Chen, L.G.[Long-Gao], Chen, L.Q.[Long-Qian], Shen, Z.P.[Zheng-Ping],
Improving ASTER GDEM Accuracy Using Land Use-Based Linear Regression Methods: A Case Study of Lianyungang, East China,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805

Fan, W.L.[Wei-Liang], Li, J.[Jing], Liu, Q.H.[Qin-Huo], Zhang, Q.[Qian], Yin, G.F.[Gai-Fei], Li, A.[Ainong], Zeng, Y.[Yelu], Xu, B.D.[Bao-Dong], Xu, X.J.[Xiao-Jun], Zhou, G.[Guomo], Du, H.Q.[Hua-Qiang],
Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806

Li, C.M.[Cheng-Ming], Guo, P.[Peipei], Wu, P.[Pengda], Liu, X.L.[Xiao-Li],
Extraction of Terrain Feature Lines from Elevation Contours Using a Directed Adjacent Relation Tree,
IJGI(7), No. 5, 2018, pp. xx-yy.
DOI Link 1806

Li, C.M.[Cheng-Ming], Liu, X.L.[Xiao-Li], Wu, W.[Wei], Hao, Z.W.[Zhi-Wei],
A Reconstruction Method for Broken Contour Lines Based on Similar Contours,
IJGI(8), No. 1, 2018, pp. xx-yy.
DOI Link 1901

Collings, S.[Simon], Botha, E.J.[Elizabeth J.], Anstee, J.[Janet], Campbell, N.[Norm],
Depth from Satellite Images: Depth Retrieval Using a Stereo and Radiative Transfer-Based Hybrid Method,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Shahbazi, M.[Mozhdeh], Sohn, G.[Gunho], Théau, J.[Jérome],
High-density stereo image matching using intrinsic curves,
PandRS(146), 2018, pp. 373-388.
Elsevier DOI 1812
Dense matching, Intrinsic curves, Disparity search space, Occlusion, Energy function, Optimization BibRef

Oliveira, R.A.[Raquel A.], Tommaselli, A.M.G.[Antonio M.G.], Honkavaara, E.[Eija],
Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera,
PandRS(147), 2019, pp. 345-360.
Elsevier DOI 1901
Image matching, Hyperspectral digital surface model, Hyperspectral 2D frame camera, Forest BibRef

Bittner, K.[Ksenia], d'Angelo, P.[Pablo], Körner, M.[Marco], Reinartz, P.[Peter],
DSM-to-LoD2: Spaceborne Stereo Digital Surface Model Refinement,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Bittner, K.[Ksenia], Körner, M.[Marco], Fraundorfer, F.[Friedrich], Reinartz, P.[Peter],
Multi-Task cGAN for Simultaneous Spaceborne DSM Refinement and Roof-Type Classification,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906

Palaseanu-Lovejoy, M.[Monica], Bisson, M.[Marina], Spinetti, C.[Claudia], Buongiorno, M.F.[Maria Fabrizia], Alexandrov, O.[Oleg], Cecere, T.[Thomas],
High-Resolution and Accurate Topography Reconstruction of Mount Etna from Pleiades Satellite Data,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912

Campos, R.[Ricard], Quintana, J.[Josep], Garcia, R.[Rafael], Schmitt, T.[Thierry], Spoelstra, G.[George], Schaap, D.M.A.[Dick M. A.],
3D Simplification Methods and Large Scale Terrain Tiling,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Yang, W.H.[Wen-Huan], Li, X.[Xin], Yang, B.[Bo], Fu, Y.[Yu],
A Novel Stereo Matching Algorithm for Digital Surface Model (DSM) Generation in Water Areas,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003

Koziol, K.[Krystian], Maciuk, K.[Kamil],
New Heights of the Highest Peaks of Polish Mountain Ranges,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
And: Correction: RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205

Ren, H.[He], Zhao, Y.L.[Yan-Ling], Xiao, W.[Wu], Wang, X.[Xin], Sui, T.[Tao],
An Improved Ground Control Point Configuration for Digital Surface Model Construction in a Coal Waste Dump Using an Unmanned Aerial Vehicle System,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006

Zarychta, R.[Roksana], Zarychta, A.[Adrian], Bzdega, K.[Katarzyna],
Progress in the Reconstruction of Terrain Relief Before Extraction of Rock Materials: The Case of Liban Quarry, Poland,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006

Wagle, N.[Nimisha], Acharya, T.D.[Tri Dev],
Past and Present Practices of Topographic Base Map Database Update in Nepal,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006

Syzdykbayev, M.[Meirman], Karimi, B.[Bobak], Karimi, H.A.[Hassan A.],
A Method for Extracting Some Key Terrain Features from Shaded Relief of Digital Terrain Models,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009

Oh, J.H.[Jae-Hong], Han, Y.K.[You-Kyung],
A Double Epipolar Resampling Approach to Reliable Conjugate Point Extraction for Accurate Kompsat-3/3A Stereo Data Processing,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

Kruk, E.[Edyta], Klapa, P.[Przemyslaw], Ryczek, M.[Marek], Ostrowski, K.[Krzysztof],
Influence of DEM Elaboration Methods on the USLE Model Topographical Factor Parameter on Steep Slopes,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Tenthoff, M.[Moritz], Wohlfarth, K.[Kay], Wöhler, C.[Christian],
High Resolution Digital Terrain Models of Mercury,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Wyszkowska, P.[Patrycja], Duchnowski, R.[Robert], Dumalski, A.[Andrzej],
Determination of Terrain Profile from TLS Data by Applying Msplit Estimation,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Bhushan, S.[Shashank], Shean, D.[David], Alexandrov, O.[Oleg], Henderson, S.[Scott],
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery,
PandRS(173), 2021, pp. 151-165.
Elsevier DOI 2102
Photogrammetry, Stereo, Structure from motion (SfM), Commercial satellite imagery, SmallSat, CubeSat BibRef

Maciuk, K.[Kamil], Apollo, M.[Michal], Mostowska, J.[Joanna], Lepeška, T.[Tomáš], Poklar, M.[Mojca], Noszczyk, T.[Tomasz], Kroh, P.[Pawel], Krawczyk, A.[Artur], Borowski, L.[Lukasz], Pavlovcic-Prešeren, P.[Polona],
Altitude on Cartographic Materials and Its Correction According to New Measurement Techniques,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Yan, L.[Li], Tang, X.F.[Xing-Fen], Zhang, Y.[Yi],
High Accuracy Interpolation of DEM Using Generative Adversarial Network,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Lastilla, L.[Lorenzo], Belloni, V.[Valeria], Ravanelli, R.[Roberta], Crespi, M.[Mattia],
DSM Generation from Single and Cross-Sensor Multi-View Satellite Images Using the New Agisoft Metashape: The Case Studies of Trento and Matera (Italy),
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Tao, Y.[Yu], Michael, G.[Greg], Muller, J.P.[Jan-Peter], Conway, S.J.[Susan J.], Putri, A.R.D.[Alfiah R. D.],
Seamless 3D Image Mapping and Mosaicing of Valles Marineris on Mars Using Orbital HRSC Stereo and Panchromatic Images,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Roncella, R.[Riccardo], Bruno, N.[Nazarena], Diotri, F.[Fabrizio], Thoeni, K.[Klaus], Giacomini, A.[Anna],
Photogrammetric Digital Surface Model Reconstruction in Extreme Low-Light Environments,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Yu, A.Z.[An-Zhu], Guo, W.[Wenyue], Liu, B.[Bing], Chen, X.[Xin], Wang, X.[Xin], Cao, X.F.[Xue-Feng], Jiang, B.C.[Bing-Chuan],
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction,
PandRS(175), 2021, pp. 448-460.
Elsevier DOI 2105
Multi-view stereo, 3D Reconstruction, Cost Volume, Coarse-to-fine, Deep Learning BibRef

Jurjevic, L.[Luka], Gašparovic, M.[Mateo], Liang, X.[Xinlian], Balenovic, I.[Ivan],
Assessment of Close-Range Remote Sensing Methods for DTM Estimation in a Lowland Deciduous Forest,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Tao, Y.[Yu], Douté, S.[Sylvain], Muller, J.P.[Jan-Peter], Conway, S.J.[Susan J.], Thomas, N.[Nicolas], Cremonese, G.[Gabriele],
Ultra-High-Resolution 1 m/pixel CaSSIS DTM Using Super-Resolution Restoration and Shape-from-Shading: Demonstration over Oxia Planum on Mars,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Lai, Z.C.[Zheng-Chao], Liu, F.[Fei], Guo, S.W.[Shang-Wei], Meng, X.T.[Xian-Tong], Han, S.[Shaokun], Li, W.H.[Wen-Hao],
Onboard Real-Time Dense Reconstruction in Large Terrain Scene Using Embedded UAV Platform,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Tao, Y.[Yu], Xiong, S.[Siting], Conway, S.J.[Susan J.], Muller, J.P.[Jan-Peter], Guimpier, A.[Anthony], Fawdon, P.[Peter], Thomas, N.[Nicolas], Cremonese, G.[Gabriele],
Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108

Štroner, M.[Martin], Urban, R.[Rudolf], Lidmila, M.[Martin], Kolár, V.[Vilém], Kremen, T.[Tomáš],
Vegetation Filtering of a Steep Rugged Terrain: The Performance of Standard Algorithms and a Newly Proposed Workflow on an Example of a Railway Ledge,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108

Tao, Y.[Yu], Muller, J.P.[Jan-Peter], Conway, S.J.[Susan J.], Xiong, S.[Siting],
Large Area High-Resolution 3D Mapping of Oxia Planum: The Landing Site for the ExoMars Rosalind Franklin Rover,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Li, J.Q.[Jian-Qiang], Chen, Z.Z.[Zhuang-Zhuang], Chen, J.[Jie], Lin, Q.[Qiuzhen],
Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention,
Cyber(51), No. 12, December 2021, pp. 6029-6040.
Generative adversarial networks, Data models, Training data, Robots, Terrain mapping, Collaboration, multiagent system BibRef

Stucker, C.[Corinne], Schindler, K.[Konrad],
ResDepth: A deep residual prior for 3D reconstruction from high-resolution satellite images,
PandRS(183), 2022, pp. 560-580.
Elsevier DOI 2201
Convolutional neural network (CNN), 3D reconstruction, Digital surface model (DSM), Scene refinement, Satellite imagery BibRef

Qi, C.[Chen], Liu, S.C.[Shao-Chuang], Xu, Y.[Yaming], Xu, A.G.[Ai-Gong], Zhang, J.[Jianli], Ma, Y.Q.[You-Qing], Li, M.L.[Ming-Lei], Xu, X.C.[Xin-Chao], Yang, H.[Huan], Yan, Y.Z.[Yong-Zhe],
Trajectory Recovery and Terrain Reconstruction Based on Descent Images under Dual-Restrained Conditions: Tianwen-1,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202

Li, S.J.[Si-Jin], Li, K.[Ke], Xiong, L.Y.[Li-Yang], Tang, G.[Guoan],
Generating Terrain Data for Geomorphological Analysis by Integrating Topographical Features and Conditional Generative Adversarial Networks,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203

Dong, Y.T.[Yu-Ting], Zhao, J.[Ji], Li, C.[Caiyong], Liao, M.S.[Ming-Sheng],
Gapless-REMA100: A gapless 100-m reference elevation model of Antarctica with voids filled by multi-source DEMs,
PandRS(186), 2022, pp. 70-82.
Elsevier DOI 2203
Reference Elevation Model of Antarctica (REMA), Digital Elevation Model (DEM), Gapless, Void-fill, Delta surface method BibRef

White, C.T.[Corey T.], Reckling, W.[William], Petrasova, A.[Anna], Meentemeyer, R.K.[Ross K.], Mitasova, H.[Helena],
Rapid-DEM: Rapid Topographic Updates through Satellite Change Detection and UAS Data Fusion,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205

Pan, Y.W.[Yun-Wen], Xia, J.Q.[Jun-Qiang], Yang, K.[Kejun],
A Method for Digital Terrain Reconstruction Using Longitudinal Control Lines and Sparse Measured Cross Sections,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Pimenova, O.[Olga], Roberts, C.[Craig], Rizos, C.[Chris],
Regional 'Bare-Earth' Digital Terrain Model for Costa Rica Based on NASADEM Corrected for Vegetation Bias,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Arévalo-Verjel, A.N.[Alba Nely], Lerma, J.L.[José Luis], Prieto, J.F.[Juan F.], Carbonell-Rivera, J.P.[Juan Pedro], Fernández, J.[José],
Estimation of the Block Adjustment Error in UAV Photogrammetric Flights in Flat Areas,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206

Liao, P.[Puyun], Chen, G.Z.[Guan-Zhou], Zhang, X.D.[Xiao-Dong], Zhu, K.[Kun], Gong, Y.F.[Yuan-Fu], Wang, T.[Tong], Li, X.W.[Xian-Wei], Yang, H.[Haobo],
A linear pushbroom satellite image epipolar resampling method for digital surface model generation,
PandRS(190), 2022, pp. 56-68.
Elsevier DOI 2208
Epipolar Resampling, Linear Pushbroom Sensor Satellite, Ortho Rectification, Rational Function Model, Digital Surface Model BibRef

Chen, X.N.[Xiao-Nan], Wang, J.[Jun], Peng, Q.[Qihang], Zhang, G.Y.[Guo-Yong],
A Constrained Block-Term Tensor Decomposition Framework for Spectrum Cartography,
SPLetters(29), 2022, pp. 1699-1703.
Tensors, Noise robustness, Manifolds, Complexity theory, Radio transmitters, Matrix decomposition, Convergence, tensor completion BibRef

Aires, A.S.[Alysson Soares], Junior, A.M.[Ademir Marques], Zanotta, D.C.[Daniel Capella], Spigolon, A.L.D.[André Luiz Durante], Veronez, M.R.[Mauricio Roberto], Gonzaga, L.[Luiz],
Digital Outcrop Model Generation from Hybrid UAV and Panoramic Imaging Systems,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
Top view terrain is not sufficient. BibRef

Zhang, X.[Xin], Xie, B.[Baorong], Liu, S.J.[Shi-Jie], Tong, X.H.[Xiao-Hua], Ding, R.[Rongli], Xie, H.[Huan], Hong, Z.H.[Zhong-Hua],
A Two-Step Block Adjustment Method for DSM Accuracy Improvement with Elevation Control of ICESat-2 Data,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209

Wong, L.[Leslie], Vien, B.S.[Benjamin Steven], Kuen, T.[Thomas], Bui, D.N.[Dat Nha], Kodikara, J.[Jayantha], Chiu, W.K.[Wing Kong],
Non-Contact In-Plane Movement Estimation of Floating Covers Using Finite Element Formulation on Field-Scale DEM,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Gómez, A.[Alvaro], Randall, G.[Gregory], Facciolo, G.[Gabriele], von Gioi, R.G.[Rafael Grompone],
An experimental comparison of multi-view stereo approaches on satellite images,
Deep learning, Training, Satellites, Pipelines, Imaging, Image reconstruction, Remote Sensing Stereo Processing BibRef

Bullinger, S., Bodensteiner, C., Arens, M.,
3D Surface Reconstruction From Multi-date Satellite Images,
ISPRS21(B2-2021: 313-320).
DOI Link 2201

d'Angelo, P., Reinartz, P.,
Digital Elevation Models From Stereo, Video and Multi-view Imagery Captured By Small Satellites,
ISPRS21(B2-2021: 77-82).
DOI Link 2201

Zhao, H.[Huai], Guo, L.[Li], Wang, X.[Xia], Huang, B.[Bo], Wang, Y.Z.[Yi-Zhe], Xie, S.[Sanwu], Zhu, R.Y.[Ren-Yi], Wang, Y.Y.[Yang-Yang], Liu, J.X.[Jia-Xing],
Improved Global 1:50000 Scale Surveying and Mapping 4D Product Generation Approach Using the Public Geographic Information Data,
Satellites, Europe, Standards, Remote sensing, global 1:50000 scale surveying and mapping, block adjustment, public geographic information data BibRef

Liu, X., Zhang, Y., Huang, X., Wan, Y., Zhang, Y., Wang, S.,
Terrain-adaptive Ground Filtering of Airborne Lidar Data Based On Saliency-aware Thin Plate Spline,
DOI Link 2012

Bittner, K., Liebel, L., Körner, M., Reinartz, P.,
Long-short Skip Connections In Deep Neural Networks for DSM Refinement,
DOI Link 2012

Li, Z., Wegner, J.D., Lucchi, A.,
Topological Map Extraction From Overhead Images,
cartography, feature extraction, geophysical image processing, graph theory, image representation, image segmentation, Machine learning BibRef

Ayazi, S.M., Saadat Seresht, M.,
Comparison of Traditional and Machine Learning Base Methods for Ground Point Cloud Labeling,
DOI Link 1912

Zharkova, A.Y., Kolenkina, M.M., Kokhanov, A.A., Karachevtseva, I.P.,
Relief of Mercury and The Moon: From Morphometry to Morphological Mapping,
DOI Link 1912

Julzarika, A., Harintaka,
Free Global DEM: Converting DSM to DTM and Its Applications,
DOI Link 1912

Lastilla, L., Ravanelli, R., Fratarcangeli, F., di Rita, M., Nascetti, A., Crespi, M.,
Foss4g Date for DSM Generation: Sensitivity Analysis of The Semi-global Block Matching Parameters,
DOI Link 1912

d'Angelo, P., Kurz, F.,
Aircraft Based Real Time Bundle Adjustment and Digital Surface Model Generation,
DOI Link 1912

Palestini, C., Basso, A.,
3D Detection and Reconstruction Experiments in River Basins,
DOI Link 1904

Ghuffar, S.[Sajid],
DEM Generation from Multi Satellite PlanetScope Imagery,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Gaudel, A., Languille, F., Delvit, J.M., Michel, J., Cournet, M., Poulain, V., Youssefi, D.,
Sentinel-2 Global Reference Image Validation And Application To Multitemporal Performances And High Latitude Digital Surface Model,
DOI Link 1805

Mousa, Y.A., Helmholz, P., Belton, D.,
New DTM Extraction Approach from Airborne Images Derived DSM,
DOI Link 1805

Belmonte, A.A., Biong, M.M.P., Macatulad, E.G.,
DEM Generation From Close-range Photogrammetry Using Extended Python Photogrammetry Toolbox,
DOI Link 1805

Meinhardt-Llopis, E., d'Autume, M.,
3D Texturing From Multi-Date Satellite Images,
geophysical image processing, geophysical signal processing, image texture, remote sensing, 3D texturing, PDE BibRef

Facciolo, G., Franchis, C.D., Meinhardt-Llopis, E.,
Automatic 3D Reconstruction from Multi-date Satellite Images,
Cameras, Computational modeling, Earth, Pipelines, Satellites, Solid modeling, Three-dimensional, displays BibRef

Som, Z.A.M., Yazid, A.M., Ming, T.K., Yazid, N.M.,
The Unified Levelling Network of Sarawak and its Adjustment,
DOI Link 1612

Yahaya, N.A.Z., Musa, T.A., Omar, K.M., Din, A.H.M., Omar, A.H., Tugi, A., Yazid, N.M., Abdullah, N.M., Wahab, M.I.A.,
Mean Sea Surface (MSS) Model Determination for Malaysian Seas Using Multi-Mission Satellite Altimeter,
DOI Link 1612

Nadezhdina, I.E., Zubarev, A.E., Brusnikin, E.S., Oberst, J.,
A Libration Model For Enceladus Based On Geodetic Control Point Network Analysis,
ISPRS16(B4: 459-462).
DOI Link 1610

Hummel, P.,
Remotely Sensed Ground Control Points,
ISPRS16(B7: 797-802).
DOI Link 1610

Kokhanov, A.A., Bystrov, A.Y., Kreslavsky, M.A., Matveev, E.V., Karachevtseva, I.P.,
Automation Of Morphometric Measurements For Planetary Surface Analysis and Cartography,
ISPRS16(B4: 431-433).
DOI Link 1610

Karachevtseva, I.P., Kokhanov, A.A., Rodionova, J.F., Zharkova, A.Y., Lazareva, M.S.,
Mapping Of Inner And Outer Celestial Bodies Using New Global And Local Topographic Data Derived From Photogrammetric Image Processing,
ISPRS16(B4: 411-415).
DOI Link 1610

Henriksen, M.R., Manheim, M.R., Speyerer, E.J., Robinson, M.S., Team, L.[LROC],
Extracting Accurate And Precise Topography From LROC Narrow Angle Camera Stereo Observations,
ISPRS16(B4: 397-403).
DOI Link 1610

Hingee, K.[Kassel], Caccetta, P.[Peter], Caccetta, L.[Louis], Wu, X.L.[Xiao-Liang], Devereaux, D.[Drew],
Digital Terrain From A Two-step Segmentation And Outlier-based Algorithm,
ISPRS16(B3: 233-239).
DOI Link 1610

Korets, M.A., Ryzhkova, V.A., Danilova, I.V., Prokushkin, A.S.,
Vegetation Cover Mapping Based On Remote Sensing And Digital Elevation Model Data,
ISPRS16(B8: 699-704).
DOI Link 1610

Švec, Z., Pavelka, K.,
Preparation Of The Digital Elevation Model for Orthophoto CR Production,
ISPRS16(B3: 107-113).
DOI Link 1610

Gallant, J.C., Read, A.M.,
A Near-global Bare-earth Dem From Srtm,
ISPRS16(B4: 137-141).
DOI Link 1610

Santillan, J.R., Makinano-Santillan, M.,
Vertical Accuracy Assessment Of 30-m Resolution Alos, Aster, And Srtm Global Dems Over Northeastern Mindanao, Philippines,
ISPRS16(B4: 149-156).
DOI Link 1610

Tadono, T., Nagai, H., Ishida, H., Oda, F., Naito, S., Minakawa, K., Iwamoto, H.,
Generation Of The 30 M-mesh Global Digital Surface Model By Alos Prism,
ISPRS16(B4: 157-162).
DOI Link 1610

Chen, Z.X.[Zi-Xuan], Wang, X.W.[Xue-Wen], Xu, Z.K.[Ze-Kai], Hou, W.G.[Wen-Guang],
Convolutional Neural Network Based Dem Super Resolution,
ISPRS16(B3: 247-250).
DOI Link 1610

de Vieilleville, F., Ristorcelli, T., Delvit, J.M.,
Dem Reconstruction Using Light Field And Bidirectional Reflectance Function From Multi-view High Resolution Spatial Images,
ISPRS16(B3: 503-509).
DOI Link 1610

Aguilar, F.J., Aguilar, M.A., Blanco, J.L., Nemmaoui, A., Lorca, A.M.G.[A. M. García],
Analysis And Validation Of Grid Dem Generation Based On Gaussian Markov Random Field,
ISPRS16(B2: 277-284).
DOI Link 1610

Hu, F., Gao, X.M., Li, G.Y., Li, M.,
Dem Extraction From Worldview-3 Stereo-images And Accuracy Evaluation,
ISPRS16(B1: 327-332).
DOI Link 1610

Piltz, B., Bayer, S., Poznanska, A.M.,
Volume Based Dtm Generation From Very High Resolution Photogrammetric Dsms,
ISPRS16(B3: 83-90).
DOI Link 1610

Tao, Y., Muller, J.P., Sidiropoulos, P., Veitch-Michaelis, J., Yershov, V.,
An Optimised System For Generating Multi-resolution DTMS Using NASA MRO Datasets,
ISPRS16(B3: 115-121).
DOI Link 1610

Debella-Gilo, M.,
Bare-earth Extraction And Dtm Generation From Photogrammetric Point Clouds With A Partial Use Of An Existing Lower Resolution Dtm,
ISPRS16(B3: 201-206).
DOI Link 1610

Jacobsen, K., Topan, H.,
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DOI Link 1504

Yu, J.J.[Jung-Jae], Han, S.W.[Seung-Wan],
Depth Map Generation for Aerial Video in Natural Scenery,

Nex, F., Gerke, M.,
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DOI Link 1404

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Springer DOI 1311

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Springer DOI 1305

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Springer DOI 1408

Calakli, F.[Fatih], Ulusoy, A.O.[Ali O.], Restrepo, M.I.[Maria I.], Taubin, G.[Gabriel], Mundy, J.L.[Joseph L.],
High Resolution Surface Reconstruction from Multi-view Aerial Imagery,

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DOI Link 1209

Burns, K.N., Speyerer, E.J., Robinson, M.S., Tran, T., Rosiek, M.R., Archinal, B.A., Howington-Kraus, E.,
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Jia, B.[Bo], Jiang, T.[Ting], Jiang, G.W.[Gang-Wu], Yu, Y.Y.[Yao-Yao], Li, G.[Guo],
Method of DEM Generation Based on Three-Line Array CCD Lunar Images,

Chou, X.[Xie], Ji, X.[Xu],
Ground Subsidence Monitoring of Yellow River Delta Based on Permanent Scatterers,

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A Method for Asteroids 3D Surface Reconstruction from Close Approach Distances,
Springer DOI 1109

Boccardo, P., Gentili, G.,
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PDF File. 1106

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Springer DOI 0911

Wessel, B., Gruber, A., Huber, M., Roth, A.,
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Wolff, K.,
DGPF Project: Evaluation of Digital Photogrammetric Aerial Based Imaging Systems: Generation of Digital Surface Models,
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DTM generation in forest regions from satellite stereo imagery,
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Arefi, H., d'Angelo, P., Reinartz, P., Mayer, H.,
Automatic Generation of Digital Terrain Models from CARTOSAT-1 STEREO IMAGES,
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d'Angelo, P., Schwind, P., Krauß, T.[Thomas], Barner, F., Reinartz, P.,
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Krishna, B.G.[B. Gopala], Amitabh, Srinivasan, T.P., Srivastava, P.K.,
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Samet, R.[Refik], Ozsavas, E.[Emrah],
Optimization of Quadtree Triangulation for Terrain Models,
Springer DOI 0708

Woo, D.M.[Dong-Min], Park, D.C.[Dong-Chul], Han, S.S.[Seung-Soo], Nguyen, Q.D.[Quoc-Dat],
Application of 3D Co-occurrence Features to Terrain Classification,
Springer DOI 0612

Oude Elberink, S.[Sander], Vosselman, G.[George],
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Gallego Sánchez, A.J., Molina Carmona, R., Villagrá Arnedo, C.,
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3-D Mapping from dense correlation-based stereo disparities. BibRef

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3D Reconstruction of Environments for Planetary Exploration,

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Towards a Semantic Representation of Raster Spatial Data,
Springer DOI 0912

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Managing Resolution in Digital Elevation Models Using Image Processing Techniques,
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Jung, I.K.[Il-Kyun], Lacroix, S.,
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PCV02(B: 142). 0305

Fryer, J.G.[John G.], Scarmana, G.[Gabriel],
Development for the Enhancement of Digital Photogrammetric Images to Improve DEM Generation Algorithm,
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A Filtering Method of Airborne Laser Scanner Data for Complex Terrain,
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Digital Terrain Models from Airborne Laserscanner Data: A Grid Based Approach,
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Grün, A.[Armin], Zhang, L.[Li],
Automatic DTM Generation from Three-Line-Scanner (TLS) Images,
PCV02(A: 131). 0305

Hinsken, L.[Ludger], Miller, S.[Scott], Tempelmann, U.[Udo], Uebbing, R.[Robert], Walker, A.S.[A. Stewart],
Triangulation of LH Systems ADS40 Imagery Using Orima GPS/IMU,
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Ameri, B.[Babak], Goldstein, N.[Norman], Wehn, H.[Hans], Moshkovitz, A.[Avner], Zwick, H.[Harold],
Towards a Seamless Robust Digital Surface Model (DSM),
PCV02(B: 12). 0305

Teichrieb, V., Frery, A.C., Kelner, J.,
DEMEDITOR: A Tool for Editing DEMs,
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Ertl, T.[Thomas],
GPU-based Visualization: New Approaches and Advanced Algorithms,
VMV04(361). 0411

Roettger, S., Ertl, T.,
Hardware-Accelerated Terrain Rendering by Adaptive Slicing,
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Sénégas, J.[Julien],
A Markov Chain Monte Carlo Approach to Stereovision,
ECCV02(III: 97 ff.).
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Istar. Address uncertainity in disparity computation, postprocessing. BibRef

Benblidia, N., Lahoche, F., Herlin, I.,
Use of Topographic Information to Improve a Land Cover Classification Image: Preliminary Results,
ICIP01(I: 842-845).

Guerrero-Curieses, A., Cid-Sueiro, J.,
An Entropy Minimization Principle for Semi-supervised Terrain Classification,
ICIP00(Vol III: 312-315).

Huot, E., Yahia, H., Herlin, I., Cohen, I.,
A General Surface Matching Model: Application to Ground Evolution Tracking,
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Smelyansky, V.N., Morris, R.D., Kuehnel, F.O., Maluf, D.A., Cheeseman, P.C.[Peter C.],
Dramatic Improvements to Feature Based Stereo,
ECCV02(II: 247 ff.).
Springer DOI 0205
Matching errors in natural scenes lead to poor calibration. Combined with surface reconstruction improve matches and calibration. BibRef

Smelyanskiy, V.N., Cheeseman, P.C.[Peter C.], Maluf, D.A., Morris, R.D.,
Bayesian Super-Resolved Surface Reconstruction from Images,
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Enhanced DEM BibRef

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Structural Lines for Triangulation of Terrain,

Lu, Y.[Yihui], Kubik, K.[Kurt], Bannamoun, M.[Mohammed],
Image segmentation and image matching for 3D terrain reconstruction,
ICPR98(Vol II: 1535-1537).
3D Terrain Reconstruction Using Compound Techniques BibRef

Oswald, S., Ramchandran, K., and Huang, T.,
Efficient Terrain Data Representation for 3D Rendering Using the Generalized BFOS Algorithm,
ICIP97(I: 448-451).
IEEE DOI BibRef 9700

Luong, Q.T.[Quang-Tuan],
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Cohen, L.D.[Laurent D.], Bardinet, E.[Eric], and Ayache, N.[Nicholas],
Reconstruction of Digital Terrain Model with a Lake,
SPIE(2031), July 1993, pp. xx. BibRef 9307
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Barrett, E.B.[Eamon B.], Payton, P.M.[Paul M.], Marra, P.[Peter],
Synthesizing Perspective Views of 3D Scenes From Multiple Reference Images Using a Synergy of Point and Line Invariant Transfer Algorithms,
SPIE(3088), April 1997, pp. xx. BibRef 9704
Synthesizing Maps of 3D Scenes From Multiple Reference Views Without Constructing the DEM,
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Ottoson, P.,
Autonomous Digital Aero Triangulation,
SSAB97(Photogrammetry) 9703

Schultz, H.J.[Howard J.],
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Terrain Reconstruction from Widely Separated Images,
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Zielke, T.[Thomas], Storjohann, K.[Kai], Mallot, H.A.[Hanspeter A.], von Seelen, W.[Werner],
Adapting computer vision systems to the visual environment: Topographic mapping,
Springer DOI 9004

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
DEM, DSM, DTM, Generation Using UAV .

Last update:Nov 2, 2022 at 12:00:26