Terrain Object Classification
Terrain Object Classification is a scholarly methodological construct in geospatial analysis that systematically categorizes discrete physical features within a landscape by their morphological and contextual attributes, distinguishing it from broader terrain classification approaches through its focus on identifiable, bounded entities rather than continuous terrain surfaces.
29
Publications
2.2K
Citations
96
Authors
30
Institutions
Publications per year
2017–2026
2
Parents
29
Natural terrain classification using 3-d ladar data
Nicolas Vandapel, Daniel F. Huber, A. Kapuria et al. · 2004 · 207 citations · Full text
SPOC: Deep Learning-based Terrain Classification for Mars Rover Missions
Brandon Rothrock, Ryan Kennedy, Chris Cunningham et al. · AIAA SPACE 2016 · 2016 · 159 citations
1–5 of 29
96
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 96
30
Carnegie Mellon University
Pittsburgh, United States
5 h-index
20 publications
3K citations
Jet Propulsion Laboratory
Pasadena, United States
4 h-index
17 publications
2.9K citations

Aberystwyth University
Aberystwyth, United Kingdom
2 h-index
5 publications
73 citations
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
4 publications
962 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
62 citations
Universität Koblenz
Koblenz, Germany
1 h-index
5 publications
210 citations
International Institute of Information Technology, Hyderabad
Hyderabad, India
1 h-index
3 publications
36 citations
Wageningen University & Research
Wageningen, The Netherlands
1 h-index
1 publications
76 citations
1–8 of 30
4 publications · 110 citations
3
h-index
JFR · 2 publications · 507 citations
2
h-index
1 publications · 14 citations
1
h-index
IJHIS · 1 publications · 17 citations
1
h-index
1 publications · 76 citations
1
h-index
1–5