24.4.5 DEM, DSM, DTM, Evaluations, Valdiation, Surveys, Overviews

Chapter Contents (Back)
Survey, Terrain. Terrain. Evaluation, DEM. DEM, Evaluation. DSM, Evaluation. DTM, Evaluation. Digital Terrain Map.
See also Error Analysis, Evaluation, Performance Analysis of Computation Methods.

Applied Imagery,
3-D, Range data visualization and processing.
WWW Link. Vendor, Image Analysis. Vendor, Terrain Visualization. Derived from Johns Hopkins, Applied Physics Lab work. The modeler has processing options, the viewer is for looking at the data. A variety of input formats.

Krupnik, A.[Amnon],
Accuracy Assessment of Automatically Derived Digital Elevation Models from SPOT Images,
PhEngRS(66), No. 8, August 2000, pp. 1017. Accuracy and reliability of DEMs, extracted automatically from SPOT stereo models, are tested by comparing the results to manually measured DEMs from aerial images. 0008
BibRef

Veidman, A.[Avi], Krupnik, A.[Amnon],
Predicting and Solving Reliability Problems in DEM Generation: The Case of Non-Textured Surfaces,
ISPRSGIS99(41-46). Uses interpolation and edges. BibRef 9900

Li, R.X.,
Mobile Mapping: An Emerging Technology for Spatial Data-Acquisition,
PhEngRS(63), No. 9, September 1997, pp. 1085-1092. 9709
BibRef

Fisher, P.[Peter],
Improved Modeling of Elevation Error with Geostatistics,
GeoInfo(2), No. 3, October 1998, pp. 215-233.
DOI Link BibRef 9810

Pereira, L.M.G.[L.M. Gomes], Janssen, L.L.F.,
Suitability of Laser Data for DTM Generation: A Case Study in the Context of Road Planning and Design,
PandRS(54), No. 4, September 1999, pp. 244-253. 9911
BibRef

Rees, W.G.,
The accuracy of Digital Elevation Models interpolated to higher resolutions,
JRS(21), No. 1, January 2000, pp. 7-20. 9911
BibRef

Gong, J.Y.[Jian-Ya], Li, Z.L.[Zhi-Lin], Zhu, Q.[Qing], Shu, H.G.[Hai-Gang], Zhou, Y.[Yi],
Effects of Various Factors on the Accuracy of DEMs: An Intensive Experimental Investigation,
PhEngRS(66), No. 9, September 2000, pp. 1113-1118. The effects of four factors on DEM accuracy: the accuracy, the density of source data, the characteristics of the terrain surface, and the modeling approaches. 0010
BibRef

Smith, D.P.[David P.], Atkinson, S.F.[Samuel F.],
Accuracy of Rectification Using Topographic Map versus GPS Ground Control Points,
PhEngRS(67), No. 5, May 2001, pp. 565-570. Ground control points acquired using GPS are superior to those determined from topographic maps for satellite image rectification. 0106
BibRef

Crosetto, M.,
Calibration and validation of SAR interferometry for DEM generation,
PandRS(57), No. 3, December 2002, pp. 213-227.
Elsevier DOI 0307
BibRef

Hirano, A.[Akira], Welch, R.[Roy], Lang, H.[Harold],
Mapping from ASTER stereo image data: DEM validation and accuracy assessment,
PandRS(57), No. 5-6, April 2003, pp. 356-370.
Elsevier DOI 0307
BibRef

Hay, G.J.[Geoffrey J.], Blaschke, T.[Thomas], Marceau, D.J.[Danielle J.], Bouchard, A.[André],
A comparison of three image-object methods for the multiscale analysis of landscape structure,
PandRS(57), No. 5-6, April 2003, pp. 327-345.
Elsevier DOI 0307
BibRef

Lang, S., Blaschke, T.[Thomas],
Hierarchical Object Representation: Comparative Multi-Scale Mapping of Anthropogenic and Natural Features,
PIA05(xx-yy).
PDF File. 0509
BibRef

Bors, A.G.[Adrian G.], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
Terrain Analysis Using Radar Shape-from-Shading,
PAMI(25), No. 8, August 2003, pp. 974-992.
IEEE Abstract. 0308
BibRef
Earlier:
Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-shading,
ICPR00(Vol I: 798-801).
IEEE DOI 0009
BibRef
And:
3-D Terrain from Synthetic Aperture Radar Images,
CVBVS00(63).
IEEE DOI 0006
BibRef

Wilson, R.C., Hancock, E.R.,
A radar reflectance model for terrain analysis using shape from shading,
CIAP99(868-873).
IEEE DOI 9909
BibRef

Bors, A.G., Hancock, E.R.,
Recovering height information from SAR images of terrain,
ICIP02(II: 477-480).
IEEE DOI 0210
BibRef

Bors, A.G.[Adrian G.], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
A Bayesian Framework for Radar Shape-from-Shading,
CVPR00(I: 262-268).
IEEE DOI 0005
BibRef
And:
Terrain Feature Identification by Modeling Radar Image Statistics,
ICIP00(Vol I: 721-724).
IEEE DOI 0008
BibRef

Saha, P.K., Chaudhuri, B.B., Chanda, B., Felicisimo, A.M.,
Parametric Statistical-Method for Error-Detection in Digital Elevation Models,
PandRS(49), No. 4, August 1994, pp. 29-33. Evaluation, Range. BibRef 9408

Cuartero, A., Felicisimo, A.M., Ariza, F.J.,
Accuracy, reliability, and depuration of SPOT HRV and Terra ASTER digital elevation models,
GeoRS(43), No. 2, February 2005, pp. 404-407.
IEEE Abstract. 0501
BibRef

Felicisimo, A.M., Cuartero, A.,
Methodological Proposal for Multispectral Stereo Matching,
GeoRS(44), No. 9, September 2006, pp. 2534-2538.
IEEE DOI 0609
BibRef

Hodgson, M.E.[Michael E.], Jensen, J.R.[John R.], Raber, G.[George], Tullis, J.A.[Jason A.], Davis, B.A.[Bruce A.], Thompson, G.[Gary], Schuckman, K.[Karen],
An Evaluation of Lidar-derived Elevation and Terrain Slope in Leaf-off Conditions,
PhEngRS(71), No. 7, July 2005, pp. 817-824.
WWW Link. 0509
Surface elevations and slope derived from lidar data in seven land-cover classes were validated using survey grade elevations. BibRef

Sheng, Y.W.[Yong-Wei],
Theoretical Analysis of the Iterative Photogrammetric Method to Determining Ground Coordinates from Photo Coordinates and a DEM,
PhEngRS(71), No. 7, July 2005, pp. 863. The convergence condition and the convergence speed of the iterative Photogrammetric method to the single-ray back-projection problem is analyzed, and validates the theory using a synthetic surfacecontaining a variety of slope conditions.
WWW Link. 0509
BibRef

Zhang, K.Q.[Ke-Qi], Whitman, D.[Dean],
Comparison of Three Algorithms for Filtering Airborne Lidar Data,
PhEngRS(71), No. 3, March 2005, pp. 313-324. Three terrain filtering methods based on changes of local elevation and slopes, applied to various data sets from urban, coastal, and mountainous areas.
WWW Link. 0509
BibRef

Iwasaki, A., Fujisada, H.,
ASTER Geometric Performance,
GeoRS(43), No. 12, December 2005, pp. 2700-2706.
IEEE DOI 0512
BibRef

Fujisada, H., Bailey, G.B., Kelly, G.G., Hara, S., Abrams, M.J.,
ASTER DEM Performance,
GeoRS(43), No. 12, December 2005, pp. 2707-2714.
IEEE DOI 0512
BibRef

Girod, L.[Luc], Nuth, C.[Christopher], Kääb, A.[Andreas], McNabb, R.[Robert], Galland, O.[Olivier],
MMASTER: Improved ASTER DEMs for Elevation Change Monitoring,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Buyuksalih, G.[Gurcan], Kocak, G.[Guven], Orue, M.[Murat],
Geometric Accuracy Evaluation of the DEM Generated by the Russian TK-350 Stereo Scenes Using the SRTM X- and C- band Interferometric DEMs,
PhEngRS(71), No. 11, November 2005, pp. 1295-1302.
WWW Link. 0602
A detailed account regarding the geometric accuracy analysis of the DEMs extracted from TK-350 inagery based on the interferometric DEMs derived from the SRTM x- and C-band data. BibRef

Alamús, R., Kornus, W., Talaya, J.,
Studies on DMC geometry,
PandRS(60), No. 6, September 2006, pp. 375-386.
Elsevier DOI 0610
Digital aerial camera; Accuracy; Automatic DEM generation; Self-calibration BibRef

Hofton, M.[Michelle], Dubayah, R.[Ralph], Blair, J.B.[J. Bryan], Rabine, D.[David],
Validation of SRTM Elevations Over Vegetated and Non-vegetated Terrain Using Medium-Footprint Lidar,
PhEngRS(72), No. 3, March 2006, pp. 279-286.
WWW Link. 0610
An evaluation of SRTM C-band DEMs in various terrain by comparison with coincident ground and canopy top elevation data obtained from the Laser Vegetation Imaging Scanner. BibRef

Guth, P.L.[Peter L.],
Geomorphometry from SRTM: Comparison to NED,
PhEngRS(72), No. 3, March 2006, pp. 269-278.
WWW Link. 0610
Calculated terrain parameters computed from the SRTM mission generally correlate with those computed from the National Elevation Data Set, but systematic differences refl ect the collection methods and true resolution of the data. BibRef

Hoffmann, J.[Jörn], Walter, D.[Diana],
How Complementary are SRTM-X and -C Band Digital Elevation Models?,
PhEngRS(72), No. 3, March 2006, pp. 261-269.
WWW Link. 0610
Validation of SRTM data products and assessment of possible improvements by their combination. BibRef

Rodríguez, E.[Ernesto], Morris, C.S.[Charles S.], Belz, J.E.[J. Eric],
A Global Assessment of the SRTM Performance,
PhEngRS(72), No. 3, March 2006, pp. 249-260.
WWW Link. 0610
A detailed description documenting the results of SRTM validation for absolute geolocation error, absolute height error, and relative height error. BibRef

Slater, J.A.[James A.], Garvey, G.[Graham], Johnston, C.[Carolyn], Haase, J.[Jeffrey], Heady, B.[Barry], Kroenung, G.[George], Little, J.J.[James J.],
The SRTM Data Finishing Process and Products,
PhEngRS(72), No. 3, March 2006, pp. 237-248.
WWW Link. 0610
Data editing requirements, procedures and assessments carried out by the National Geospatial-Intelligence Agency to produce finished SRTM DTED and related products disseminated to the U.S. Government and the public at large. BibRef

Carabajal, C.C.[Claudia C.], Harding, D.J.[David J.],
SRTM C-band and ICESat Laser Altimetry Elevation Comparisons as a Function of Tree Cover and Relief,
PhEngRS(72), No. 3, March 2006, pp. 287-298.
WWW Link. 0610
Validation of SRTM C-band DEMs Using Ice, Cloud, and Land Elevation Satellite (ICESat) data. BibRef

Kiel, B.[Brian], Alsdorf, D.[Doug], LeFavour, G.[Gina],
Capability of SRTM C and X Band DEM Data to Measure Water Elevations in Ohio and the Amazon,
PhEngRS(72), No. 3, March 2006, pp. 313-320.
WWW Link. 0610
Analyzing SRTM water surface elevation data to assess the capacity of interferometric radar for future water surface missions. BibRef

Walker, J.P.[Jeffrey P.], Willgoose, G.R.[Garry R.],
A Comparative Study of Australian Cartometric and Photogrammetric Digital Elevation Model Accuracy,
PhEngRS(72), No. 7, July 2006, pp. 771-780.
WWW Link. 0610
The accuracy of digital elevation models derived from digitizing contours on topographic maps and from autocorrelation of stereo photographs is investigated throught comparison with elevation data from a ground survey. BibRef

Peng, M.H.[Miao-Hsiang], Shih, T.Y.[Tian-Yuan],
Error Assessment in Two Lidar-derived TIN Datasets,
PhEngRS(72), No. 8, August 2006, pp. 933-948.
WWW Link. 0610
An evaluation of elevations derived from lidar data in seven land-cover classes with GPS and total station measurements. BibRef

Wechsler, S.P.[Suzanne P.], Kroll, C.N.[Charles N.],
Quantifying DEM Uncertainty and Its Effect on Topographic Parameters,
PhEngRS(72), No. 9, September 2006, pp. 1081-1090.
WWW Link. 0610
A methodology to quantify uncertainty in digital elevation data and derived parameters: slope, upslope, contributing area, and topographic index. BibRef

Bhang, K.J., Schwartz, F.W., Braun, A.,
Verification of the Vertical Error in C-Band SRTM DEM Using ICESat and Landsat-7, Otter Tail County, MN,
GeoRS(45), No. 1, January 2007, pp. 36-44.
IEEE DOI 0701
BibRef

James, T.D.[Timothy D.], Carbonneau, P.E.[Patrice E.], Lane, S.N.[Stuart N.],
Investigating the Effects of DEM Error in Scaling Analysis,
PhEngRS(73), No. 1, January 2007, pp. 67-78.
WWW Link. 0704
A new method of scaling analysis to investigate the effects of common photogrammetric errors through numerical simulation. BibRef

Pierce, L.[Leland], Kellndorfer, J.[Josef], Walker, W.[Wayne], Barros, O.[Oton],
Evaluation of the Horizontal Resolution of SRTM Elevation Data,
PhEngRS(72), No. 11, November 2006, pp. 1235-1244.
WWW Link. 0704
The horizontal resolution of SRTM elevation data is evaluated using two approaches with the conclusion that it varies between 1 and 1.6 pixels depending on the local filter applied. BibRef

Su, J.[Jason], Bork, E.[Edward],
Influence of Vegetation, Slope, and Lidar Sampling Angle on DEM Accuracy,
PhEngRS(72), No. 11, November 2006, pp. 1265-1274.
WWW Link. 0704
An evaluation of the influence of vegetation, slope, and offnadir sampling angle within a topographically variable region on the accuracy of a lidar-derived DEM. BibRef

Mercier, J.A.[Jeffrey A.], Schowengerdt, R.A.[Robert A.], Storey, J.C.[James C.], Smith, J.L.[Jody L.],
Geometric Correction and Digital Elevation Extraction Using Multiple MTI Datasets,
PhEngRS(73), No. 2, February 2007, pp. 133-142.
WWW Link. 0704
Concepts from Photogrammetric stereo pair elevation extraction have been extended to utilize three or more imagery collects and to provide geometric correction information for a pushbroom sensor. BibRef

Ip, A.[Alain], El-Sheimy, N.[Naser], Mostafa, M.[Mohamed],
Performance Analysis of Integrated Sensor Orientation,
PhEngRS(73), No. 1, January 2007, pp. 89-98.
WWW Link. 0704
The performance characteristics of an aerial mapping system using integrated sensor orientation under different qualities of differential GPS and IMU data. BibRef

Mach, R., Petschek, P.,
Visualization of Digital Terrain and Landscape Data: A Manual,
Springer2007. ISBN 978-3-540-30490-6.
WWW Link. Survey, Visualization. Buy this book: Visualization of Digital Terrain and Landscape Data: A Manual BibRef 0700

Bjørke, J.T.[Jan T.], Nilsen, S.[Stein],
Computation of Random Errors in Digital Terrain Models,
GeoInfo(11), No. 3, September 2007, pp. 359-382.
Springer DOI 0709
BibRef

Aguilar, F.J.[Fernando J.], Agüera, F.[Francisco], Aguilar, M.A.[Manuel A.],
A Theoretical Approach to Modeling the Accuracy Assessment of Digital Elevation Models,
PhEngRS(73), No. 12, December 2007, pp. 1367-1380.
WWW Link. 0712
Development and validation of a theoretical model for estimating the degree of correctness to which the accuracy figures of a grid Digital Elevation Model have been estimated, measured as RMSE, depending on the number of check points used in the accuracy assessment process. BibRef

Nichol, J.[Janet], Hang, L.K.[Law Kin],
The Influence of DEM Accuracy on Topographic Correction of Ikonos Satellite Images,
PhEngRS(74), No. 1, January 2008, pp. 47-54.
WWW Link. 0803
A comparison of DEMs from different interpolation techniques using well-known topographic correction algorithms. BibRef

Wu, J.D.[Jin-Dong], Bauer, M.E.[Marvin E.], Wang, D.[Dong], Manson, S.M.[Steven M.],
A comparison of illumination geometry-based methods for topographic correction of QuickBird images of an undulant area,
PandRS(63), No. 2, March 2008, pp. 223-236.
Elsevier DOI 0803
Bidirectional; DEM; High resolution; QuickBird; Topography BibRef

Seo, S.Y.[Su-Young], O'Hara, C.G.[Charles G.],
Parametric Investigation of the Performance of Lidar Filters Using Different Surface Contexts,
PhEngRS(74), No. 3, March 2008, pp. 343-362.
WWW Link. 0803
Comparison of the performance of surface models for filtering lidar data which are derived from morphological operations, triangulation, and linear prediction to filter lidar data. BibRef

Schumann, G., Matgen, P., Cutler, M.E.J., Black, A., Hoffmann, L., Pfister, L.,
Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM,
PandRS(63), No. 3, May 2008, pp. 283-296.
Elsevier DOI 0711
LiDAR; SRTM; Topographic contour DEM; Water stage; Flood inundation model BibRef

García-Quijano, M.J.[María J.], Jensen, J.R.[John R.], Hodgson, M.E.[Michael E.], Hadley, B.C.[Brian C.], Gladden, J.B.[John B.], Lapine, L.A.[Lewis A.],
Significance of Altitude and Posting Density on Lidar derived Elevation Accuracy on Hazardous Waste Sites,
PhEngRS(74), No. 9, September 2008, pp. 1137-1146.
WWW Link. 0804
Evaluation of the vertical accuracy of two lidar-derived elevation datasets acquired from different altitudes. BibRef

Beaulieu, A.[Alexandre], Clavet, D.[Daniel],
Accuracy Assessment of Canadian Digital Elevation Data using ICESat,
PhEngRS(75), No. 1, January 2009, pp. 81-86.
WWW Link. 0902
A demonstration of the quality of ICESat data and its potential for the validation of the accuracy of digital elevation models. BibRef

Hu, P.[Peng], Liu, X.H.[Xiao-Hang], Hu, H.[Hai],
Isomorphism in Digital Elevation Models and Its Implication to Interpolation Functions,
PhEngRS(75), No. 6, June 2009, pp. 713-722.
WWW Link. 0910
The prerequisites for an interpolation function to preserve topographic orderliness, i.e., if point A is higher than point B, the interpolated elevation of A should remain higher, are revealed for the first time. BibRef

Hu, P.[Peng], Liu, X.H.[Xiao-Hang], Hu, H.[Hai],
Accuracy Assessment of Digital Elevation Models based on Approximation Theory,
PhEngRS(75), No. 1, January 2009, pp. 49-57.
WWW Link. 0902
Approximation theory is applied for the first time to account for the theoretical reasons underlying the correlation between DEM errors and terrain morphology, sampling density, and interpolation method. BibRef

Liu, X.H.[Xiao-Hang], Hu, H.[Hai], Hu, P.[Peng],
Accuracy Assessment of LiDAR-Derived Digital Elevation Models Based on Approximation Theory,
RS(7), No. 6, 2015, pp. 7062.
DOI Link 1507
BibRef

King, M.A.,
The GPS Contribution to the Error Budget of Surface Elevations Derived From Airborne LIDAR,
GeoRS(47), No. 3, March 2009, pp. 874-883.
IEEE DOI 0903
BibRef

Amara, Y.[Yacine], Marsault, X.[Xavier],
A GPU Tile-Load-Map architecture for terrain rendering: theory and applications,
VC(25), No. 8, August 2009, pp. xx-yy.
Springer DOI 0907
BibRef

Amara, Y.[Yacine], Meunier, S.[Sylvain], Marsault, X.[Xavier],
A GPU Framework for the Visualization and On-the-Fly Amplification of Real Terrains,
ISVC07(I: 586-597).
Springer DOI 0711
BibRef

Hohle, J.[Joachim], Hohle, M.[Michael],
Accuracy assessment of digital elevation models by means of robust statistical methods,
PandRS(64), No. 4, July 2009, pp. 398-406.
Elsevier DOI 0907
DEM/DTM; Laser scanning; Photogrammetry; Accuracy; Specifications BibRef

Chen, Q.[Qi],
Assessment of terrain elevation derived from satellite laser altimetry over mountainous forest areas using airborne lidar data,
PandRS(65), No. 1, January 2010, pp. 111-122.
Elsevier DOI 1001
GLAS; Gaussian decomposition; Elevation; Lidar
See also Modeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar. BibRef

Gonzales de Oliveira, C.[Cleber], Renato Paradella, W.[Waldir], de Queiroz da Silva, A.[Arnaldo],
Assessment of radargrammetric DSMs from TerraSAR-X Stripmap images in a mountainous relief area of the Amazon region,
PandRS(66), No. 1, January 2011, pp. 67-72.
Elsevier DOI 1101
DSM; TerraSAR-X Stripmap; Topographic mapping; Brazilian Amazon BibRef

Beumier, C.[Charles], Idrissa, M.[Mahamadou],
Analysis of 3D Reconstruction Error in the Context of Computational Stereo in Remote Sensing,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Beekhuizen, J., Heuvelink, G.B.M., Biesemans, J., Reusen, I.,
Effect of DEM Uncertainty on the Positional Accuracy of Airborne Imagery,
GeoRS(49), No. 5, May 2011, pp. 1567-1577.
IEEE DOI 1105
BibRef

Arefi, H., Reinartz, P.,
Accuracy Enhancement of ASTER Global Digital Elevation Models Using ICESat Data,
RS(3), No. 7, July 2011, pp. 1323-1343.
DOI Link 1203
BibRef

Bitenc, M., Lindenbergh, R., Khoshelham, K., van Waarden, A.,
Evaluation of a LIDAR Land-Based Mobile Mapping System for Monitoring Sandy Coasts,
RS(3), No. 7, July 2011, pp. 1472-1491.
DOI Link 1203
BibRef

Dahlqvist, S., Rönnholm, P., Salo, P., Vermeer, M.,
Evaluating the Correctness of Airborne Laser Scanning Data Heights Using Vehicle-Based RTK and VRS GPS Observations,
RS(3), No. 9, September 2011, pp. 1902-1913.
DOI Link 1203
BibRef

Ortiz, S., Breidenbach, J., Knuth, R., Kändler, G.,
The Influence of DEM Quality on Mapping Accuracy of Coniferous- and Deciduous-Dominated Forest Using TerraSAR-X Images,
RS(4), No. 3, March 2012, pp. 661-681;.
DOI Link 1204
BibRef

Debella-Gilo, M., Bjørkelo, K., Breidenbach, J., Rahlf, J.,
Object-Based Analysis of Aerial Photogrammetric Point Cloud and Spectral Data for Land Cover Mapping,
Hannover13(63-67).
DOI Link 1308
BibRef

Estornell, J., Ruiz, L.A., Velázquez-Martí, B., Hermosilla, T.,
Analysis of the factors affecting LiDAR DTM accuracy in a steep shrub area,
IJ Digital Earth(4), No. 6, 2011, pp. 521-538.
DOI Link 1204
BibRef

Suwandana, E., Kawamura, K., Sakuno, Y., Kustiyanto, E., Raharjo, B.,
Evaluation of ASTER GDEM2 in Comparison with GDEM1, SRTM DEM and Topographic-Map-Derived DEM Using Inundation Area Analysis and RTK-dGPS Data,
RS(4), No. 8, August 2012, pp. 2419-2431.
DOI Link 1209
BibRef

Toutin, T., Schmitt, C.V., Wang, H.,
Impact of no GCP on elevation extraction from WorldView stereo data,
PandRS(72), No. 1, August 2012, pp. 73-79.
Elsevier DOI 1209
Modeling; High-resolution; Satellite; Optical; Stereoscopic; DEM/DSM BibRef

Rizzoli, P.[Paola], Bräutigam, B.[Benjamin], Kraus, T.[Thomas], Martone, M.[Michele], Krieger, G.[Gerhard],
Relative height error analysis of TanDEM-X elevation data,
PandRS(73), No. 1, September 2012, pp. 30-38.
Elsevier DOI 1210
SAR interferometry; Digital elevation model; Relative height error; TanDEM-X BibRef

González, J.H.[Jaime Hueso], Antony, J.M.W.[John Mohan Walter], Bachmann, M.[Markus], Krieger, G.[Gerhard], Zink, M.[Manfred], Schrank, D.[Dirk], Schwerdt, M.[Marco],
Bistatic system and baseline calibration in TanDEM-X to ensure the global digital elevation model quality,
PandRS(73), No. 1, September 2012, pp. 3-11.
Elsevier DOI 1210
Accuracy; Calibration; Digital; Interferometer; SAR; Satellite; Space BibRef

Haala, N.[Norbert], Rothermel, M.[Mathias],
Dense Multi-Stereo Matching for High Quality Digital Elevation Models,
PFG(2012), No. 4, 2012, pp. 331-343.
WWW Link. 1211
BibRef
Earlier:
Dense Multiple Stereo Matching Of Highly Overlapping Uav Imagery,
ISPRS12(XXXIX-B1:387-392).
DOI Link 1209
BibRef

Haala, N., Cramer, M., Rothermel, M.,
Quality of 3D Point Clouds from Highly Overlapping UAV Imagery,
UAV-g13(183-188).
DOI Link 1311
BibRef

Rothermel, M., Haala, N., Wenzel, K.,
Potential of Dense Matching for the Generation of High Quality Digital Elevation models,
HighRes11(xx-yy).
PDF File. 1106
BibRef

Jacobsen, K.[Karsten], Cramer, M.[Michael], Ladstädter, R.[Richard], Ressl, C.[Camillo], Spreckels, V.[Volker],
DGPF-Project: Evaluation of Digital Photogrammetric Camera Systems Geometric Performance,
PFG(2010), No. 2, 2010, pp. 83-97.
WWW Link. 1211
BibRef

Haala, N.[Norbert], Hastedt, H.[Heidi], Wolf, K.[Kirsten], Ressl, C.[Camillo], Baltrusch, S.[Sven],
Digital Photogrammetric Camera Evaluation Generation of Digital Elevation Models,
PFG(2010), No. 2, 2010, pp. 99-115.
WWW Link. 1211
BibRef

Spreckels, V.[Volker], Syrek, L.[Luzie], Schlienkamp, A.[Andreas],
DGPF-Project: Evaluation of Digital Photogrammetric Camera Systems Stereoplotting,
PFG(2010), No. 2, 2010, pp. 117-130.
WWW Link. 1211
BibRef

Cramer, M.[Michael],
The ADS40 Vaihingen/Enz geometric performance test,
PandRS(60), No. 6, September 2006, pp. 363-374.
Elsevier DOI 0610
ADS40; push-broom; georeferencing; performance; GPS/inertial BibRef

Cramer, M.[Michael],
The DGPF-Test on Digital Airborne Camera Evaluation Overview and Test Design,
PFG(2010), No. 2, 2010, pp. 73-82.
WWW Link. 1211
BibRef

Cramer, M.[Michael], Haala, N.,
DGPF Project: Evaluation of Digital Photogrammetric Aerial Based Imaging Systems - Overview and Results from the Pilot Centre,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Toutin, T.[Thierry], Omari, K.[Khalid], Blondel, E.[Enrique], Clavet, D.[Daniel], Schmitt, C.V.[Carla Vanessa],
Scientist's Idealism versus User's Realism on Radarsat-2 HR Stereo Capability without GCP: Two Cases over North and Arctic Sites in Canada,
PFG(2012), No. 4, 2012, pp. 385-394.
WWW Link. 1211
BibRef

Toutin, T.[Thierry], Blondel, E.[Enrique], Clavet, D.[Daniel], Schmitt, C.V.[Carla Vanessa],
Stereo Radargrammetry With Radarsat-2 in the Canadian Arctic,
GeoRS(51), No. 5, May 2013, pp. 2601-2609.
IEEE DOI 1305
BibRef

Vosselman, G.[George],
Automated planimetric quality control in high accuracy airborne laser scanning surveys,
PandRS(74), No. 1, November 2012, 90-100.
Elsevier DOI 1212
BibRef
Earlier:
Analysis of Planimetric Accuracy of Airborne Laser Scanning Surveys,
ISPRS08(B3a: 99 ff).
PDF File. 0807
Laser scanning; Mapping; Quality analysis; Point cloud; Feature extraction BibRef

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aerospace testing BibRef

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Accuracy BibRef

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3D reconstruction, Dense image matching, Digital surface model, Satellite photogrammetry, Rational polynomial functions, Matching quality indicator BibRef

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Strain, Synthetic aperture radar, Atmospheric modeling, Estimation, Matrix decomposition, Digital elevation models, interferometric synthetic aperture radar (InSAR) BibRef

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Estimation, Measurement uncertainty, Laser radar, Correlation, Solid modeling, Context modeling, Noise measurement, TanDEM-X-DEM BibRef

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Xing, Z.Y.[Zi-Yang], Chi, Z.H.[Zhao-Hui], Yang, Y.[Ying], Cbhen, S.Y.[Shi-Yi], Huang, H.B.[Hua-Bing], Cheng, X.[Xiao], Hui, F.M.[Feng-Ming],
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Digital Elevation Model Quality Assessment Methods: A Critical Review,
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Liu, J.[Jiao], Chen, J.P.[Jun-Ping], Liu, P.Z.[Pei-Zhao], Tan, W.J.[Wei-Jie], Dong, D.[Danan], Qu, W.J.[Wei-Jing],
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International Terrestrial Reference System. BibRef

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Laser radar, Laser beams, Photonics, Surface topography, Sea surface, Satellites, Remote sensing, Accuracy, ATL08, canopy coverage, Ice, Cloud, time of acquisition BibRef

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Sparse Approximation of the Precision Matrices for the Wide-Swath Altimeters,
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How much slope is too much for LiDAR for elevation data. BibRef

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Elsevier DOI 2302
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Evaluation of Copernicus DEM and Comparison to the DEM Used for Landsat Collection-2 Processing,
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A Triangular Grid Filter Method Based on the Slope Filter,
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Verification and Analysis of Overseas 1:50000 Scale Surveying and Mapping 4D Products Quality Generated by the ZY3 and TH1 Satellite Imagery,
ICIVC22(622-626)
IEEE DOI 2301
Satellites, Information resources, Inspection, Product design, Quality assessment, quality verification BibRef

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