23.4.7 DEM, Surface Analysis for Ridges and Streams, Rivers, Drainage, Depressions

Chapter Contents (Back)
Curvature Analysis. Ridge. Valley. Drainage.
See also Landform Analysis, Landform Description.
See also Curvature and Features of Surfaces and Range Data.
See also Crater Detection, Impact Craters, Depressions.
See also Hydrological Analysis, Hydrological Modeling.

Peucker, T.K.[Thomas K.], Douglas, D.H.[David H.],
Detection of Surface-Specific Points by Local Parallel Processing of Discrete Terrain Elevation Data,
CGIP(4), No. 4, 1975, pp. 375-387.
Elsevier DOI BibRef 7500

Johnston, E.G., Rosenfeld, A.,
Digital Detection of Pits, Peaks, Ridges, and Ravines,
SMC(5), July 1975, pp. 472-480. BibRef 7507

Haralick, R.M., Campbell, J.B., Wang, S.,
Automatic Inference of Elevation and Drainage Models from a Satellite Image,
PIEEE(73), 1985, pp. 1040-1053. Recognize Drainage Networks. BibRef 8500

Haralick, R.M., Wang, S., Shapiro, L.G., Campbell, J.B.,
Extraction of Drainage Networks by Using the Consistent Labeling Technique,
RSE(18), No. 10, October, 1985, pp. 163-175. BibRef 8510

Haralick, R.M., Wang, S., and Elliott, D.B.,
Spatial Reasoning to Determine Stream Network from LANDSAT Imagery,
ICPR82(502-514). This paper uses a lot of different other algorithms to do the basic processing but finally determines surface orientations which can give ridge and valley locations. The basic processing is to eliminate effects of known LANDSAT noise, use ratios of images to classify into any number of classes, use the classes to determine regions of the same object, use the intensity average for a class to get the average intensity, the rest is caused by the surface orientation differences. Darker and brighter regions are slopes, these then give valleys and ridge lines. Then compute approximate elevation data from the slopes. It produces interesting results.
See also Topographic Classification of Digital Image Intensity Surfaces Using Generalized Splines and the Discrete Cosine Transform. BibRef 8200

Wang, S., Haralick, R.M., and Campbell, J.B.,
Relative Elevation Determination from Landsat Imagery,
CVWS84(150-157). Has some of the same properties as the stream network paper above. Generate an approximation of the elevation based on the shadows, etc. BibRef 8400

Haralick, R.M., Zhang, M.C., and Campbell, J.B.,
Automatic Delineation of Drainage Basins Within Digital Elevation Data Using the Topographic Primal Sketch,
Mathematical Geology(22), No. 2, 1990, pp. 189-209. BibRef 9000

O'Callaghan, J.F.[John F.], Mark, D.M.[David M.],
The Extraction of Drainage Networks from Digital Elevation Data,
CVGIP(28), No. 3, December 1984, pp. 323-344.
Elsevier DOI Recognize Drainage Networks. Uses digital terrain data for input. BibRef 8412

Soille, P., Gratin, C.,
An Efficient Algorithm for Drainage Network Extraction on DEMs,
JVCIR(5), 1994, pp. 181-189. BibRef 9400

Seemuller, W.W.[William W.],
The Extraction of Ordered Vector Drainage Networks form Elevation Data,
CVGIP(47), No. 1, July 1989, pp. 45-58.
Elsevier DOI Convert raster data to vectors with gaps, structure the results to get the networks. BibRef 8907

Monga, O., and Benayoun, S.,
Using Partial Derivatives of 3D Images to Extract Typical Surface-Features,
CVIU(61), No. 2, March 1995, pp. 171-189.
DOI Link BibRef 9503
Using Differential Geometry in R4 to Extract Typical Features in 3D Images,
Using Differential Geometry in R4 to Extract Typical Features in 3D Density Images,

Monga, O., Benayoun, S., and Faugeras, O.D.,
From Partial Derivatives of 3D Density Images to Ridge Lines,
IEEE DOI Curvature analysis of range images. BibRef 9200

Monga, O., Armande, N., Montesinos, P.,
Thin Nets and Crest Lines: Application to Satellite Data and Medical Images,
CVIU(67), No. 3, September 1997, pp. 285-295.
DOI Link 9710
Earlier: ICIP95(II: 468-471).

See also Thin Nets Extraction Using a Multi-scale Approach. BibRef

Fua, P.[Pascal],
Fast, Accurate and Consistent Modeling of Drainage and Surrounding Terrain,
IJCV(26), No. 3, March 1998, pp. 215-234.
DOI Link 9804
Model-Based Approach to Accurate and Consistent 3-D Modeling of Drainage and Surrounding Terrain,
3-D Modeling of Drainage Patterns,
SRI-TN- No. 555, September 23, 1996.
See also Model-Based Optimization: An Approach to Fast, Accurate and Consistent Site Modeling. BibRef

Kweon, I.S., Kanade, T.,
Extracting Topographic Terrain Features from Elevation Maps,
CVGIP(59), No. 2, March 1994, pp. 171-182.
DOI Link BibRef 9403

Wladis, D.[David],
Automatic Lineament Detection Using Digital Elevation Models with Second Derivative Filters,
PhEngRS(65), No. 4, April 1999, pp. 453-458. BibRef 9904

Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Consistent topographic surface labelling,
PR(32), No. 7, July 1999, pp. 1211-1223.
Elsevier DOI BibRef 9907

Lopez, A.M., Lumbreras, F., Serrat, J., Villanueva, J.J.,
Evaluation of Methods for Ridge and Valley Detection,
PAMI(21), No. 4, April 1999, pp. 327-335.
IEEE DOI Primarily drainage patterns, but apply to other line (maximum) detection problems. Has several references to the general problem from the 1800s. BibRef 9904

Jones, K.H.[Kevin H.],
Comparison of Two Approaches to Ranking Algorithms Used to Compute Hill Slopes,
GeoInfo(2), No. 3, October 1998, pp. 235-256.
DOI Link BibRef 9810

Eberly, D., Gardner, R., Morse, B.S., Pizer, S.M., and Scharlach, C.,
Ridges for Image Analysis,
JMIV(4), 1994, pp. 353-373. Multiscale ridge detection. BibRef 9400

Sagar, B.S.D.[B. S. Daya], Venu, M., Srinivas, D.,
Morphological operators to extract channel networks from digital elevation models,
JRS(21), No. 1, January 2000, pp. 21. 9911

Sagar, B.S.D.[B.S. Daya], Lim, S.L.[Sin Liang],
Ranks for Pairs of Spatial Fields via Metric Based on Grayscale Morphological Distances,
IP(24), No. 3, March 2015, pp. 908-918.
image classification BibRef

Baudemont, F., Parrot, J.F.,
Structural Analysis of DEM's by Intersection of Surface Normals in a Three-Dimensional Accumulator Space,
GeoRS(38), No. 3, May 2000, pp. 1191-1198.
IEEE Top Reference. 0006

Cronin, T.M.[Terrence M.],
Classifying Hills and Valleys in Digitized Terrain,
PhEngRS(66), No. 9, September 2000, pp. 1129-1138. Use the elevation-based containment properties of a contour map. 0010

Miliaresis, G.C., Argialas, D.P.,
Extraction and Delineation of Alluvial Fans from Digital Elevation Models and Landsat Thematic Mapper Images,
PhEngRS(66), No. 9, September 2000, pp. 1093-1102. A region-growing segmentation algorithm. 0010

Thibault, D.[David], Gold, C.M.[Christopher M.],
Terrain Reconstruction from Contours by Skeleton Construction,
GeoInfo(4), No. 4, December 2000, pp. 349-373.
DOI Link 0101

Kenward, T.[Tracey], Lettenmaier, D.P.[Dennis P.], Wood, E.F.[Eric F.], Fielding, E.[Eric],
Effects of Digital Elevation Model Accuracy on Hydrologic Predictions,
RSE(74), No. 3, 2000, pp. 432- 444. 0102

Ahmadzadeh, M.R., Petrou, M.,
Error statistics for slope and aspect when derived from interpolated data,
GeoRS(39), No. 9, September 2001, pp. 1823-1833.
IEEE Top Reference. 0111

Bittner, T.[Thomas], Stell, J.G.[John G.],
Vagueness and Rough Location,
GeoInfo(6), No. 2, June 2002, pp. 99-121.
DOI Link Description of location of vague GIS objects (i.e. a valley). BibRef 0206

Bittner, T.[Thomas],
Vague distance predicates,
GeoInfo(21), No. 2, April 2017, pp. 209-229.
WWW Link. 1702

Mizukoshi, H.[Hiroko], Aniya, M.[Masamu],
Use of Contour-Based DEMs for Deriving and Mapping Topographic Attributes,
PhEngRS(68), No. 1, January 2002, pp. 83-93. The methods to calculate slope gradient and aspect and to classify slope form using contour-based DEMs are presented.
WWW Link. 0201

Dillabaugh, C.R.[Craig R.], Niemann, K.O.[K. Olaf], Richardson, D.E.[Dianne E.],
Semi-Automated Extraction of Rivers from Digital Imagery,
GeoInfo(6), No. 3, September 2002, pp. 263-284.
DOI Link 0208

Yokoyama, R.[Ryuzo], Shirasawa, M.[Michio], Pike, R.J.[Richard J.],
Visualizing Topography by Openness: A New Application of Image Processing to Digital Elevation Models,
PhEngRS(68), No. 3, March 2002, pp. 257-266. Maps of positive and negative openness, computed at a DEM point from zenith or nadir angles constrained by neighboring points, aid topographic interpretation by emphasizing ridges, drainages, and convexities and concavities.
WWW Link. 0204

Arge, L.[Lars], Chase, J.S.[Jeffrey S.], Halpin, P.[Patrick], Toma, L.[Laura], Vitter, J.S.[Jeffrey S.], Urban, D.[Dean], Wickremesinghe, R.[Rajiv],
Efficient Flow Computation on Massive Grid Terrain Datasets,
GeoInfo(7), No. 4, December 2003, pp. 283-313.
DOI Link 0309

Clarke, S.[Sharon], Burnett, K.[Kelly],
Comparison of Digital Elevation Models for Aquatic Data Development,
PhEngRS(69), No. 12, December 2003, pp. 1367-1376. Slopes, streams, and hydrologic units generated from 10-meter drainage-enforced digital elevation models and 30-meter digital elevation models are compared.
WWW Link. 0401

Kim, K.M.[Kyoung Min], Park, J.J.[Joong Jo], Song, M.H.[Myung Hyun], Kim, I.C.[In Cheol], Suen, C.Y.[Ching Y.],
Detection of ridges and ravines using fuzzy logic operations,
PRL(25), No. 6, 19 April 2004, pp. 743-751.
Elsevier DOI 0405

Aguilar, F.J.[Fernando J.], Agüera, F.[Francisco], Aguilar, M.A.[Manuel A.], Carvajal, F.[Fernando],
Effects of Terrain Morphology, Sampling Density, and Interpolation Methods on Grid DEM Accuracy,
PhEngRS(71), No. 7, July 2005, pp. 805-816. Effects of terrain morphology, sampling density, and scattered data interpolation methods on the accuracy of interpolated Grid Elevation Models.
WWW Link. 0509

Baker, M.E.[Matthew E.], Weller, D.E.[Donald E.], Jordan, T.E.[Thomas E.],
Comparison of Automated Watershed Delineations: Effects on Land Cover Areas, Percentages, and Relationships to Nutrient Discharge,
PhEngRS(72), No. 2, February 2006, pp. 159-168.
WWW Link. A comparison of manual and automated watershed delineation procedures and their effects on a multi-regional analysis of land-cover and stream nutrient concentration. 0602

Lindsay, J.B.[John B.], Creed, I.F.[Irena F.],
Sensitivity of Digital Landscapes to Artifact Depressions in Remotely-Sensed DEMs,
PhEngRS(71), No. 9, September 2005, pp. 1029-1036.
WWW Link. 0602
The effectiveness of inadequate representation of surfaces by grids and random errors in elevations to cause artifact depressions in digital elevation models of a range of landscape types is quantified. BibRef

Hofer, M., Sapiro, G., Wallner, J.,
Fair Polyline Networks for Constrained Smoothing of Digital Terrain Elevation Data,
GeoRS(44), No. 10, October 2006, pp. 2983-2990.

Silván-Cárdenas, J.L., Wang, L.,
A multi-resolution approach for filtering LiDAR altimetry data,
PandRS(61), No. 1, October 2006, pp. 11-22.
Elsevier DOI 0610
Scale-space representation; Multiscale Hermite transform BibRef

Shi, X.[Xun], Zhu, A.X.[A-Xing], Burt, J.[James], Choi, W.[Wes], Wang, R.X.[Rong-Xun], Pei, T.[Tao], Li, B.L.[Bao-Lin], Qin, C.Z.[Cheng-Zhi],
An Experiment Using a Circular Neighborhood to Calculate Slope Gradient from a DEM,
PhEngRS(73), No. 2, February 2007, pp. 143-154.
WWW Link. 0704
Research comparing the slope gradient values calculated using a circular neighborhood with the results from the traditional square neighborhood used in a focal operation on a raster layer. BibRef

Garrigues, S., Allard, D., Baret, F.,
Using First- and Second-Order Variograms for Characterizing Landscape Spatial Structures From Remote Sensing Imagery,
GeoRS(45), No. 6, June 2007, pp. 1823-1834.

Sathyamoorthy, D.[Dinesh],
The effect of morphological smoothening by reconstruction on the extraction of peaks and pits from digital elevation models,
PRL(28), No. 12, 1 September 2007, pp. 1400-1406.
Elsevier DOI 0707
Digital elevation models; Morphological smoothening by reconstruction; Kernel; Peaks and pits; DEM smoothening BibRef

Ai, T.H.[Ting-Hua],
The drainage network extraction from contour lines for contour line generalization,
PandRS(62), No. 2, June 2007, pp. 93-103.
Elsevier DOI 0709
Map generalization; Delaunay triangulation; Valley extraction; Contour generalization BibRef

Bóo, M., Amor, M., Döllner, J.,
Unified Hybrid Terrain Representation Based on Local Convexifications,
GeoInfo(11), No. 3, September 2007, pp. 331-357.
Springer DOI 0709

Liu, J.K.[Jung-Kung], Li, R.X.[Rong-Xing], Deshpande, S.[Sagar], Niu, X.T.[Xu-Tong], Shih, T.Y.[Tian-Yuan],
Estimation of Blufflines Using Topographic Lidar Data and Orthoimages,
PhEngRS(75), No. 1, January 2009, pp. 69-80.
WWW Link. 0902
A method of bluffline extraction from the combination of lidar data and orthoimages. BibRef

Song, Y.H.[Yong-Hak], Shan, J.[Jie],
An Adaptive Approach to Topographic Feature Extraction from Digital Terrain Models,
PhEngRS(75), No. 3, March 2009, pp. 281-290.
WWW Link. 0903
An approach to topographic feature extraction from DTM using adaptive marching square algorithm based on the maximum curvature and maximum connectivity BibRef

Chatterjee, R.S., Saha, S.K., Kumar, S.[Suresh], Mathew, S.[Sharika], Lakhera, R.C., Dadhwal, V.K.,
Interferometric SAR for characterization of ravines as a function of their density, depth, and surface cover,
PandRS(64), No. 5, September 2009, pp. 472-481.
Elsevier DOI 0910
Ravines; InSAR; Characterization; Chambal; India BibRef

Ayoub, F.[Francois], Leprince, S.[Sebastien], Avouac, J.P.[Jean-Philippe],
Co-registration and correlation of aerial photographs for ground deformation measurements,
PandRS(64), No. 6, November 2009, pp. 551-560.
Elsevier DOI 1001
Aerial; Photography; Change detection; Registration; Correlation BibRef

Ai, T.H.[Ting-Hua], Li, J.Z.[Jing-Zhong],
A DEM generalization by minor valley branch detection and grid filling,
PandRS(65), No. 2, March 2010, pp. 198-207.
Elsevier DOI 1003
DEM; Map generalization; Terrain representation; Multi-scale representation BibRef

Bartels, M.[Marc], Wei, H.[Hong],
Threshold-free object and ground point separation in LIDAR data,
PRL(31), No. 10, 15 July 2010, pp. 1089-1099.
Elsevier DOI 1008
LIDAR; Remote sensing; Skewness Balancing; GIS; DSM; DTM BibRef

Erus, G.[Güray], Loménie, N.[Nicolas],
How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?,
PRL(31), No. 10, 15 July 2010, pp. 1109-1119.
Elsevier DOI 1008
Geometrical Primitives for the Classification of Images Containing Structural Cartographic Objects,
Classification of Structural Cartographic Objects Using Edge-Based Features,
ISVC07(I: 385-392).
Springer DOI 0711
Object recognition; Structural analysis; Satellite images; CBIR BibRef

Lomenie, N., Racoceanu, D.,
Spatial relationships over sparse representations,

Cierniewski, J., Gulinski, M.,
Furrow Microrelief Influence on the Directional Hyperspectral Reflectance of Soil at Various Illumination and Observation Conditions,
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Ehsani, A.H.[Amir Houshang], Quiel, F.[Friedrich], Malekian, A.[Arash],
Effect of SRTM resolution on morphometric feature identification using neural network: self organizing map,
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WWW Link. 1011
SRTM: Shuttle Radar Topography Mission. DEM resolution. BibRef

Zhou, Q.M.[Qi-Ming], Chen, Y.M.[Yu-Min],
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PandRS(66), No. 1, January 2011, pp. 38-45.
Elsevier DOI 1101
DEM/DTM; Surface; Generalization; Triangulation; Geomorphology BibRef

Ukkonen, T.[Tomas], Oksanen, J.[Juha], Rousi, T.[Tapani], Sarjakoski, T.[Tapani],
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PandRS(66), No. 5, September 2011, pp. 564-578.
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Johansen, K., Tiede, D., Blaschke, T., Arroyo, L.A., Phinn, S.R.,
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Terrain Segmentation of Egypt from Multi-Temporal Night LST Imagery and Elevation Data,
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Detecting Mountain Peaks and Delineating Their Shapes Using Digital Elevation Models, Remote Sensing and Geographic Information Systems Using Autometric Methodological Procedures,
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Elsevier DOI 1303
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Guilbert, E.[Eric],
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Cracknell, M.J., Roach, M., Green, D., Lucieer, A.,
Estimating Bedding Orientation From High-Resolution Digital Elevation Models,
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Wang, Y.S.[Yun-Sheng], Liang, X.L.[Xin-Lian], Flener, C.[Claude], Kukko, A.[Antero], Kaartinen, H.[Harri], Kurkela, M.[Matti], Vaaja, M.[Matti], Hyyppä, H.[Hannu], Alho, P.[Petteri],
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Höfle, B.[Bernhard], Griesbaum, L.[Luisa], Forbriger, M.[Markus],
GIS-Based Detection of Gullies in Terrestrial LiDAR Data of the Cerro Llamoca Peatland (Peru),
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Zhang, L.[Lu], Guo, H.[Huadong],
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Karst Depression Detection Using ASTER, ALOS/PRISM and SRTM-Derived Digital Elevation Models in the Bambuí Group, Brazil,
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Determination of Suitable Areas for the Generation of Wind Energy in Germany: Potential Areas of the Present and Future,
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A Geospatial Approach for Prioritizing Wind Farm Development in Northeast Nebraska, USA,
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An accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data,
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Ground identification BibRef

Sofia, G.[Giulia], Marinello, F.[Francesco], Tarolli, P.[Paolo],
A new landscape metric for the identification of terraced sites: The Slope Local Length of Auto-Correlation (SLLAC),
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Terraces BibRef

d'Oleire-Oltmanns, S.[Sebastian], Marzolff, I.[Irene], Tiede, D.[Dirk], Blaschke, T.[Thomas],
Detection of Gully-Affected Areas by Applying Object-Based Image Analysis (OBIA) in the Region of Taroudannt, Morocco,
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Choung, Y.[Yunjae],
Mapping Levees Using LiDAR Data and Multispectral Orthoimages in the Nakdong River Basins, South Korea,
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Hydrological Impacts of Urbanization of Two Catchments in Harare, Zimbabwe,
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Mitsova, D.[Diana],
Coupling Land Use Change Modeling with Climate Projections to Estimate Seasonal Variability in Runoff from an Urbanizing Catchment Near Cincinnati, Ohio,
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RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Chen, Y.C.[Yu-Chao], Huang, Q.[Qian], Zhao, J.[Jiannan], Hu, X.Y.[Xiang-Yun],
Unsupervised Machine Learning on Domes in the Lunar Gardner Region: Implications for Dome Classification and Local Magmatic Activities on the Moon,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Zhang, H.[HuiHui], Loáiciga, H.A.[Hugo A.], Feng, L.[LuWei], He, J.[Jing], Du, Q.[QingYun],
Setting the Flow Accumulation Threshold Based on Environmental and Morphologic Features to Extract River Networks from Digital Elevation Models,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104

Hu, S.M.[Shi-Min], Fong, S.[Simon], Yang, L.[Lili], Yang, S.H.[Shuang-Hua], Dey, N.[Nilanjan], Millham, R.C.[Richard C.], Fiaidhi, J.[Jinan],
Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance-Learning-Based Algorithm,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104

Babic, M.[Matej], Petrovic, D.[Dušan], Sodnik, J.[Jošt], Soldo, B.[Božo], Komac, M.[Marko], Chernieva, O.[Olena], Kovacic, M.[Miha], Mikoš, M.[Matjaž], Calě, M.[Michele],
Modeling and Classification of Alluvial Fans with DEMs and Machine Learning Methods: A Case Study of Slovenian Torrential Fans,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Zhang, W.[Wei], Li, W.K.[Wen-Kai], Loaiciga, H.A.[Hugo A.], Liu, X.G.[Xiu-Guo], Liu, S.[Shuya], Zheng, S.J.[Sheng-Jie], Zhang, H.[Han],
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RS(13), No. 11, 2021, pp. xx-yy.
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Wang, H.[Hang], Huang, G.T.[Guang-Tan], Chen, Y.K.[Yang-Kang],
Robust Nonstationary Local Slope Estimation,
GeoRS(59), No. 7, July 2021, pp. 6225-6233.
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Liu, C.Y.[Cheng-Yi], Wu, F.[Fang], Gong, X.Y.[Xian-Yong], Xing, R.X.[Rui-Xing], Du, J.W.[Jia-Wei],
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IJGI(10), No. 7, 2021, pp. xx-yy.
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Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108

Phinzi, K.[Kwanele], Abriha, D.[Dávid], Szabó, S.[Szilárd],
Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems,
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Grau, J.[Joan], Liang, K.[Kang], Ogilvie, J.[Jae], Arp, P.[Paul], Li, S.[Sheng], Robertson, B.[Bonnie], Meng, F.R.[Fan-Rui],
Using Unmanned Aerial Vehicle and LiDAR-Derived DEMs to Estimate Channels of Small Tributary Streams,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109

Shokouh, G.S.[Ghulam-Sakhi], Magnier, B.[Baptiste], Xu, B.B.[Bin-Bin], Montesinos, P.[Philippe],
An Objective Comparison of Ridge/valley Detectors by Image Filtering,
Springer DOI 2103

Guiotte, F., Etaix, G., Lefčvre, S., Corpetti, T.,
Interactive Digital Terrain Model Analysis In Attribute Space,
DOI Link 2012

Kalantar, B., Ameen, M.H., Jumaah, H.J., Jumaah, S.J., Halin, A.A.,
Zab River (IRAQ) Sinuosity and Meandering Analysis Based on the Remote Sensing Data,
DOI Link 2012

Montibeller, A., Vilela, M., Hino, F., Mallmann, P., Nadas, M., Caruso Jr., F., Delabary, H.,
On the Development of A Novel Approach for Identifying Perennial Drainage In Southern Brazil: A Study Case Integrating Sentinel-2 And High-resolution Digital Elevation Models with Machine Learning Techniques,
DOI Link 2012

Backes, D., Smigaj, M., Schimka, M., Zahs, V., Grznárová, A., Scaioni, M.,
River Morphology Monitoring of A Small-scale Alpine Riverbed Using Drone Photogrammetry and Lidar,
DOI Link 2012

Xu, X., Tang, Q.,
Lidar and Photogrammetry Approaches for Monitoring Land Surface Morphology in Ephemeral Gully System,
DOI Link 1912

Liu, B., Niu, S., Xin, X., Jia, M., Di, K., Liu, Z., Peng, M., Yue, Z.,
High Precision DTM and DOM Generating Using Multi-source Orbital Data On Chang'e-4 Landing Site,
DOI Link 1912

Di, K., Liu, Z., Liu, B., Wan, W., Peng, M., Li, J., Xie, J., Jia, M., Niu, S., Xin, X., Li, L., Wang, J., Yue, Z., Gou, S., Wang, Y., Wang, R., Liu, J., Bo, Z., Liu, C., Yu, T., Xi, L., Miao, Y.,
Topographic Analysis of Chang'e-4 Landing Site Using Orbital, Descent And Ground Data,
DOI Link 1912

Peng, M., Wang, Y., Yue, Z., Di, K.,
Automated Detection of Lunar Ridges Based On Dem Data,
DOI Link 1912

Walicka, A., Pfeifer, N., Józków, G., Borkowski, A.,
TLS Point Cloud Registration for Detecting Change in Individual Rocks of a Mountain River Bed,
DOI Link 1912

Kazimi, B.[Bashir], Thiemann, F.[Frank], Sester, M.[Monika],
Object Instance Segmentation in Digital Terrain Models,
Springer DOI 1909

Yan, Y., Rangarajan, A., Ranka, S.,
An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification,
cartography, convolution, feature extraction, feedforward neural nets, image classification, semi-supervised learning BibRef

Karim, H., Hashim, M.G., bin Mohd Salleh, M.R.,
A Blending Technique of Topograhic And Hydrographic DEMs for River Alignment Modelling,
DOI Link 1805

Wilson, B.[Brandon], Deen, R.[Robert], Tavakkoli, A.[Alireza],
A Portable and Unified CPU/GPU Parallel Implementation of Surface Normal Generation Algorithm from 3D Terrain Data,
ISVC16(II: 202-211).
Springer DOI 1701

Ninsalam, Y., Qin, R., Rekittke, J.,
Application For 3d Scene Understanding In Detecting Discharge Of Domestic Waste Along Complex Urban Rivers,
ISPRS16(B3: 663-667).
DOI Link 1610

Burshtynska, K., Shevchuk, V., Tretyak, S., Vekliuk, V.,
Monitoring Of The Riverbeds Of Rivers Dniester And Tisza Of The Carpathian Region,
ISPRS16(B7: 177-182).
DOI Link 1610

Jozkow, G., Borkowski, A., Kasprzak, M.,
Monitoring Of Fluvial Transport In The Mountain River Bed Using Terrestrial Laser Scanning,
ISPRS16(B7: 523-528).
DOI Link 1610

Maderal, E.N., Valcarcel, N., Delgado, J., Sevilla, C., Ojeda, J.C.,
Automatic River Network Extraction From Lidar Data,
ISPRS16(B8: 365-372).
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Legat, K., Moe, K., Poli, D., Bollmannb, E.,
Exploring the Potential of Aerial Photogrammetry for 3D Modelling of High-Alpine Environments,
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Zeppelzauer, M.[Matthias], Seidl, M.[Markus],
Efficient image-space extraction and representation of 3D surface topography,
3D surface analysis; surface micro-structure; topography classification BibRef

Shahbazi, M., Sohn, G., Théau, J., Ménard, P.,
UAV-Based Point Cloud Generation for Open-Pit Mine Modelling,
DOI Link 1512

Kong, Y.Y., Leung, H., Yan, S., Xing, S.Y.,
Extraction of Peak Feature Based on Synthetic Sinc Model in SAR images,
DOI Link 1508

Kragh, M.[Mikkel], Jřrgensen, R.N.[Rasmus N.], Pedersen, H.[Henrik],
Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data,
Springer DOI 1507

Baibatsha, A.B.,
Paleovalleys mapping using remote sensing,
DOI Link 1411

Modu, B., Herbert, B.,
Spatial analysis from remotely sensed observations of Congo basin of East African high Land to drain water using gravity for sustainable management of low laying Chad basin of Central Africa,
DOI Link 1411

Kobal, M., Bertoncelj, I., Pirotti, F., Kutnar, L.,
Lidar Processing for Defining Sinkhole Characteristics under Dense Forest Cover: A Case Study in the Dinaric Mountains,
DOI Link 1404

Acharya, H., Amitabh, Srinivasan, T.P., Gopala Krishna, B.,
A new approach for terrain analysis of lunar surface by Chandrayaan-1 data using open source libraries,
astronomical image processing BibRef

Toscano, G.J., Gopalam, U., Devarajan, V.,
A Novel Method for Automation of 3D Hydro Break Line Generation from Lidar Data Using MATLAB,
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Ghandehari, M.,
Digital Elevation Model Approximation from Stream Networks: A Reversed Approach,
HTML Version. 1311

Schmidt, R., Bostelmann, J., Cornet, Y., Heipke, C., Philippe, C., Poncelet, N., de Rosa, D., Vandeloise, Y.,
Landsafe: Landing Site Risk Analysis Software Framework,
DOI Link 1209

Vemu, S., Pinnamaneni, U.B.,
Sediment Yield Estimation And Prioritization Of Watershed Using Remote Sensing and GIS,
DOI Link 1209

Ai, T., Yang, M.,
Consistency Matching in the Integration of Contour and River Data by Spatial Knowledge,
DOI Link 1209

Lwin, A., Khaing, M.M.,
Yangon River Geomorphology Identification And Its Enviromental Imapacts Analsysis by Optical and Radar Sensing Techniques,
DOI Link 1209

Harris, B., Mcdougall, K., Barry, M.,
Comparison Of Multi-scale Digital Elevation Models For Defining Waterways And Catchments Over Large Areas,
AnnalsPRS(I-2), No. 2012, pp. 75-80.
HTML Version. 1209

Li, Y.C.[Ying-Cheng], Ye, D.M.[Dong-Mei], Ding, X.B.[Xiao-Bo], Teng, C.S.[Chang-Sheng], Wang, G.H.[Guang-Hui], Li, T.H.[Tuan-Hao],
UAV Aerial Photography Technology in Island Topographic Mapping,

Deng, S.P.[Shao-Ping], Zhang, J.X.[Ji-Xian], Li, P.X.[Ping-Xiang], Huang, G.[Guoman],
DEM Fusion and Its Application in Mapping Topography of Complex Areas,

Yang, S.C.[Shu-Cheng], Huang, G.[Guoman], Zhao, Z.[Zheng], Wang, N.[Ningna],
Extraction of Topographic Map Elements with SAR Stereoscopic Measurement,

Zhao, Z.[Zheng], Zhang, J.X.[Ji-Xian], Huang, G.[Guoman], Yan, Q.[Qin], Hua, F.[Fenfen],
High Resolution InSAR Topographic Mapping Comprehensive Experiment in Hengduan Mountain Area,

Domenica, C.[Costantino], Giuseppa, A.M.[Angelini Maria],
Features and Ground Automatic Extraction from Airborne Lidar Data,
DOI Link 1109

Xu, T.[Tao], Yang, W.[Wen], Liu, Y.[Ying], Zhou, C.X.[Chun-Xia], Wang, Z.M.[Ze-Min],
Crevasse Detection in Antarctica Using ASTER Images,
ICIAR11(II: 370-379).
Springer DOI 1106

Kass, S., Notarnicola, C., Zebisch, M.,
Object-Based Approach to Map Semi-Natural Areas in Mountain Region with High Spatial Resolution Images,
PDF File. 1007

Wiederkehr, E., Belletti, B., Dufour, S., Piégay, H.,
Physical Characterisation of River Corridors from Orthophotos: Challenging Issues and First Application to the Rhone Hydrographic Network,
PDF File. 1007

Cheng, H.T.[Heng-Tze], Sun, F.T.[Feng-Tso], Buthpitiya, S.[Senaka], Zhang, Y.[Ying], Nefian, A.V.[Ara V.],
Lunar Image Classification for Terrain Detection,
ISVC10(III: 1-8).
Springer DOI 1011

Laky, S.[Sandor], Zaletnyik, P.[Piroska], Toth, C.K.[Charles K.],
Land classification of wavelet-compressed full-waveform LiDAR data,
PDF File. 1009

Shapovalov, R.[Roman], Velizhev, A.[Alexander],
Cutting-Plane Training of Non-associative Markov Network for 3D Point Cloud Segmentation,

Shapovalov, R.[Roman], Velizhev, A.[Alexander], Barinova, O.[Olga],
Non-associative Markov networks for 3D point cloud classification,
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Kohoutek, T.K.[Tobias K.], Nitsche, M.[Manuel],
Assessment of Flow Resistance of Steep Mountain Rivers Measuring Streambed Topography by Range Imaging Technology,
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Kitamura, K., Kochi, N., d'Apuzzo, N., Kaneko, S.,
Automated Extraction of Break Lines in TLS Data of Real Environment,
PDF File. 1006

de Matías, J., Moreno, J., de Sanjosé, J.J., Guerrero, J.J.,
Image Measurement Techniques In Rock Glacier Modelling,
PDF File. 1006

Lindenbergh, R., Soudarissanane, S., de Vries, S., Coquet, M., de Schipper, M., Hejbudzka, K., Duijnmayer, K., van Goor, B., Cohen, A.,
Eolian Sand Transport Monitored By Terrestrial Laser Scanning,
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Maas, H., Schneider, D., Schwalbe, E., Casassa, G., Wendt, A.,
Photogrammetric Techniques For The Determination Of Spatio-temporal Velocity Fields At Glaciar San Rafael,
PDF File. 1006

Beshah, B.[Belai], Xie, C.L.[Cheng-Lin], Matsuno, L.[Lonnie],
Delivering value added products from elevation data,
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d'Angelo, P.,
Evaluation of ZY-3 For DSM and Ortho Image Generation,
DOI Link 1308

d'Angelo, P.[Pablo],
Image matching and outlier removal for large scale DSM generation,
PDF File. 1006

Arefi, H.[Hossein], Reinartz, P.[Peter],
Elimination of the outliers from Aster GDEM data,
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Chen, Z.[Zhuo], Zhao, Y.Q.[Yan-Qing], Yang, C.J.[Chong-Jun],
Real-time Contour Map Reconstruction With 3d Terrain On Modern Graphics Hardware,
VCGVA09(xx-yy). 0910
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Automatic Break Line Determination for the Generation of a DTM Along the River Main,
Laser09(236). 0909

Bu, L.J.[Li-Jing], Zhang, Z.P.[Zheng-Peng],
Application of Point Clouds from Terrestrial 3D Laser Scanner for Deformation Measurements,
ISPRS08(B5: 545 ff).
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Zogg, H.M., Ingensand, H.,
Terrestrial Laser Scanning for Deformation Monitoring: Load Tests on the Felsenau Viaduct,
ISPRS08(B5: 555 ff).
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Schwalbe, E., Maas, H.G., Dietrich, R., Ewert, H.,
Glacier Velocity Determination from Multi-Temporal Long Range Laser Scanner Point Clouds,
ISPRS08(B5: 457 ff).
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Kakiuchi, T.[Tsutomu], Chikatsu, H.[Hirofumi],
Robust Extraction of Ancient Burial Mounds in Brushland from Laser Scanning Data,
ISPRS08(B5: 341 ff).
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Miller, P.E., Hardy, A.J., Mills, J.P., Barr, S.L., Birkinshaw, S., Parkin, G., Glendinning, S., Hall, J.,
Intelligent Integration of Multi-sensor Data for Risk Assessment in Transport Corridor Environments,
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Miller, P.E., Mills, J.P., Barr, S.L., Lim, M., Barber, D.M., Parkin, G., Clarke, B., Glendinning, S., Hall, J.,
Terrestrial Laser Scanning for Assessing the Risk of Slope Instability along Transport Corridors,
ISPRS08(B5: 495 ff).
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Li, A.K.Y.[Amy K.Y.], Batchvarova, T.[Tania],
Topographic Mapping and Terrain Modeling from Multi-Sensor Satellite Imagery,
ISPRS08(B1: 809 ff).
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Brattberg, O., Tolt, G.,
Terrain Classification Using Airborne LIDAR Data and Aerial Imagery,
ISPRS08(B3b: 261 ff).
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Buyuksalih, G., Jacobsen, K.,
DSM Generation with High Resolution Space Imagery over Mountainous Forest Area,
ISPRS08(B1: 865 ff).
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Hashemi, S.A.M.,
Automatic Peaks Extraction from Normalized Digital Surface Model (NDSM);,
ISPRS08(B3b: 491 ff).
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Liu, Y.X.[Yong-Xue], Li, M.C.[Man-Chun], Song, K.[Ke], Yang, J.[Jing], Li, X.[Xue],
A DEM Construction Method for Inconstant Inter-Tidal Zone Base on Short-Interval, High Frequency MODIS Data Set: A Case Study in the Dongsha Sandbank of the Jiangsu Radial Tidal Sand-Ridges,
ISPRS08(B1: 853 ff).
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Lin, Y., Yan, L., Tong, Q.X.,
Automatic Recognition of Rivers from LIDAR Data by Profile Factor,
ISPRS08(B1: 245 ff).
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Bao, X.H.[Xiao-Hong], Pajarola, R.[Renato], Shafae, M.[Michael],
SMART: An Efficient Technique for Massive Terrain Visualization from Out-of-core,
VMV04(413-420). 0411

Theisel, H.[Holger], Weinkauf, T.[Tino], Hege, H.C.[Hans-Christian], Seidel, H.P.[Hans-Peter],
Grid-independent Detection of Closed Stream Lines in 2D Vector Fields,
VMV04(421-428). 0411

Theisel, H.[Holger], Roessl, C.[Christian], Weinkauf, T.[Tino],
Morphological Representations of Vector Fields,
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Theisel, H.[Holger], Weinkauf, T.[Tino],
Vector Field Metrics Based on Distance Measures of First Order Critical Points,
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Weinkauf, T., Theisel, H.,
Curvature Measures of 3D Vector Fields and their Applications,
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Cho, H.C.[Hyun-Chong], Slatton, K.C.[K. Clint],
Morphological Processing of Severely Occluded Digital Elevation Images to Extract and Connect Stream Channels,
ICIP07(II: 241-244).

Comic, L.[Lidija], de Floriani, L.[Leila],
Tree-Based Encoding for Cancellations on Morse Complexes,
Springer DOI 0911

Vitali, M.[Maria], de Floriani, L.[Leila], Magillo, P.[Paola],
Computing Morse Decompositions for Triangulated Terrains: An Analysis and an Experimental Evaluation,
CIAP11(I: 565-574).
Springer DOI 1109
Earlier: A2, A3, A1:
Modeling and Generalization of Discrete Morse Terrain Decompositions,

Danovaro, E.[Emanuele], de Floriani, L.[Leila], Vitali, M.[Maria],
Multi-resolution Morse-Smale Complexes for Terrain Modeling,

Soille, P.[Pierre], Grazzini, J.[Jacopo],
Extraction of River Networks from Satellite Images by Combining Mathematical Morphology and Hydrology,
Springer DOI 0708

Faas, F.G.A.[Frank G.A.], van Vliet, L.J.[Lucas J.],
Junction Detection and Multi-orientation Analysis Using Streamlines,
Springer DOI 0708

Angelova, A.[Anelia], Matthies, L.H.[Larry H.], Helmick, D.[Daniel], Perona, P.[Pietro],
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation,

Rekleitis, I.[Ioannis], Bedwani, J.L.[Jean-Luc], Dupuis, E.[Erick], Allard, P.[Pierre],
Path Planning for Planetary Exploration,

Gingras, D.[David], Lamarche, T.[Tom], Bedwani, J.L.[Jean-Luc], Dupuis, É.[Érick],
Rough Terrain Reconstruction for Rover Motion Planning,

Rekleitis, I.[Ioannis], Bedwani, J.L.[Jean-Luc], Gemme, S.[Sebastien], Lamarche, T.[Tom], Dupuis, E.[Erick],
Terrain Modelling for Planetary Exploration,

Sivaswamy, J.[Jayanthi], Joshi, G.D.[Gopal Datt], Chandra, S.[Siva],
An Alternative Curvature Measure for Topographic Feature Detection,
Springer DOI 0612

Bangate, J.,
Classification methods for preventive analysis of tropical slope systems: Mapping Leyte's pre disaster environment with ASTER imagery,
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Opitz, D.W., Rao, R., Blundell, J.S.,
Automated 3-D feature extraction from terrestrial and airborne LiDAR,
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Revealing Celtic Fields from LIDAR Data using Kriging Based Filtering,
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Yokoyama, H., Chikatsu, H.,
Automatic break-line detection from laserscanner data using surface flatness,
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Maas, H.G., Dietrich, R., Schwalbe, E., Bässler, M., Westfeld, P.,
Analysis of the motion behaviour of Jacobshaven isbrć glacier in Greenland by monocular image sequence analysis,
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Bauer, T., Kaiser, G.,
Knowledge Transfer: Formalising an interpretation key,
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Rutzinger, M., Höfle, B., Pfeifer, N., Geist, T., Stötter, J.,
Object based analysis of airborne laser scanning data for natural hazard purposes using open source components,
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Yeu, C.W.T., Lim, M.H.[Meng-Hiot], Huang, G.B.[Guang-Bin],
Terrain Modeling Using Machine Learning Methods,

Selmaoui, N.[Nazha],
Algorithm for Crest Detection Based on Graph Contraction,
Springer DOI 0509

Liu, H.J.[Hua-Jun], Yang, J.Y.[Jing-Yu], Zhao, C.X.[Chun-Xia],
A generic approach to rugged terrain analysis based on fuzzy inference,
ICARCV04(II: 1108-1113).

Boucheron, L.E., Creusere, C.D.,
Compression of digital elevation maps for fast and efficient search and retrieval,
ICIP03(I: 629-632).

Kaufmann, V.[Viktor], Ladstädter, R.[Richard],
Monitoring of Active Rock Glaciers by Means of Digital Photogrammetry,
PCV02(B: 108). 0305

Pedrini, H.[Hélio], Schwartz, W.R.[William Robson],
Topographic Feature Identification Based on Triangular Meshes,
CAIP01(621 ff.).
Springer DOI 0210

Pedrini, H., Schwartz, W.R., Franklin, W.,
Automatic Extraction of Topographic Features Using Adaptive Triangular Meshes,
ICIP01(III: 732-735).

Steger, C.T.,
Extraction of Watersheds from DTM and Images With Subpixel Precision,
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Steger, C.T.,
Subpixel-Precise Extraction of Watersheds,
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Kerckhove, M.[Michael],
Computation of Ridges via Pullback Metrics from Scale Space,
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Miller, J.E.[Jason E.], Furst, J.D.[Jacob D.],
The Maximal Scale Ridge: Incorporating scale into the ridge definition,
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Kent, J.T., Mardia, K.V., and West, J.M.,
Ridge Curves and Shape Analysis,
BMVC96(Shape). 9608
University of Leeds BibRef

Wang, X.G.[Xiao-Guang], Hanson, A.R.,
Compariative Studies of 3-D Textural Features and Their Reliability in Terrain Classification,

Wang, X., Stolle, F.R., Schultz, H.J., Riseman, E.M., Hanson, A.R.,
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Thoenen, G.W.[Gregory W.], Thompson, W.B.[William B.],
Extraction of Micro-Terrain Ravines Using Image Understanding Constrained by Topographic Context,
DARPA97(1001-1006). BibRef 9700

Henderson, T.C.[Thomas C.], Morris, S.[Scott], Sanders, C.[Charlotte],
Ridge and Ravine Detection in Digital Images,
DARPA97(999-1000). BibRef 9700

Piegay, E., Selmaoui, N., Leschi, C.,
Crest lines detection by valleys spreading,
Springer DOI 9509

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Dunes, Sand Dunes, Analysis, Detection, Movement .

Last update:Sep 19, 2021 at 21:11:01