Keith Price Bibliography DEM, DTM, Evaluations, Valdiation, Surveys, Overviews

22.5.1 DEM, DTM, Evaluations, Valdiation, Surveys, Overviews

Chapter Contents (Back)
Survey, Terrain. Terrain. DTM. Digital Terrain Map.

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Applied Imagery,
3-D, Range data visualization and processing.
WWW Version. 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.
WWW Version. 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.[Jianya], Li, Z.L.[Zhi-Lin], Zhu, Q.[Qing], Shu, H.[Haigang], 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.
WWW Version. 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.
WWW Version. 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.
WWW Version. 0307 BibRef

Lang, S., Blaschke, T.[Thomas],
Hierarchical Object Representation: Comparative Multi-Scale Mapping of Anthropogenic and Natural Features,
PIA05(xx-yy).
PDF Version. 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. IEEE Top Reference. 0308 BibRef
Earlier:
Terrain Modeling in Synthetic Aperture Radar Images Using Shape-from-shading,
ICPR00(Vol I: 798-801).
IEEE DOI may work or IEEE-CS DOI may work.
HTML Version. 0009 BibRef
And:
3-D Terrain from Synthetic Aperture Radar Images,
CVBVS00(63).
IEEE DOI may work or IEEE-CS DOI may work. 0006 BibRef

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

Bors, A.G., Hancock, E.R.,
Recovering height information from SAR images of terrain,
ICIP02(II: 477-480).
IEEE Abstract. IEEE Top Reference. 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 Abstract. IEEE Top Reference.
WWW Version. 0005 BibRef
And:
Terrain Feature Identification by Modeling Radar Image Statistics,
ICIP00(Vol I: 721-724).
IEEE Abstract. IEEE Top Reference. 0008 BibRef

Sithole, G.[George], Vosselman, G.[George],
Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds,
PandRS(59), No. 1-2, August 2004, pp. 85-101.
WWW Version. 0411 See also Bridge detection in airborne laser scanner data. 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. IEEE Top Reference. 0501 BibRef

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

Hodgson, M.E.[Michael E.], Jensen, J.[John], 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 Version. 0509Surface 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 Version. 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 Version. 0509 BibRef

Iwasaki, A., Fujisada, H.,
ASTER Geometric Performance,
GeoRS(43), No. 12, December 2005, pp. 2700-2706.
IEEE DOI may work or IEEE-CS DOI may work. 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 may work or IEEE-CS DOI may work. 0512 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 Version. 0602A 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.
WWW Version. 0610Digital 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 Version. 0610An 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 Version. 0610Calculated 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 Version. 0610Validation 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 Version. 0610A 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.[James],
The SRTM Data Finishing Process and Products,
PhEngRS(72), No. 3, March 2006, pp. 237-248.
WWW Version. 0610Data 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 Version. 0610Validation of SRTM C-band DEMs Using Ice, Cloud, and Land Elevation Satellite (ICESat) data. BibRef

Ludwig, R.[Ralf], Schneider, P.[Philipp],
Validation of digital elevation models from SRTM X-SAR for applications in hydrologic modeling,
PandRS(60), No. 5, August 2006, pp. 339-358.
WWW Version. 0610SRTM; TOPMODEL; digital elevation model; hydrologic modeling; validation 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 Version. 0610Analyzing 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 Version. 0610The 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 Version. 0610An 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 Version. 0610A 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 may work or IEEE-CS DOI may work. 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 Version. 0704A 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 Version. 0704The 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 Version. 0704An 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 Version. 0704Concepts 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 Version. 0704The 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 Version. Survey, Visualization. Buy from Amazon: 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.
WWW Version. 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 Version. 0712Development 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