Road Change Detection
Road Change Detection is a remote sensing change detection method that specifically identifies alterations in road networks over time by analyzing multi-temporal geospatial imagery to distinguish road-related modifications from other landscape changes.
143
Publications
7.2K
Citations
448
Authors
190
Institutions
Publications per year
2017–2026
56
143
Street-view change detection with deconvolutional networks
Pablo F. Alcantarilla, Simon Stent, Germán Ros et al. · Autonomous Robots · 2018 · 310 citations
Daqing Zhang, Nan Li, Zhi‐Hua Zhou et al. · 2011 · 304 citations
Computing, Geoinformatics, Global Navigation Satellite Systems +16
Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning
Yongyang Xu, Zhong Xie, Yaxing Feng et al. · Remote Sensing · 2018 · 282 citations · Full text
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190
Wuhan University
Wuhan, China
13 h-index
35 publications
1.9K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
8 h-index
20 publications
1.1K citations

University of Tehran
Tehran, Iran
5 h-index
15 publications
406 citations

Central South University
Changsha, China
4 h-index
13 publications
640 citations
K.N.Toosi University of Technology
Tehran, Iran
4 h-index
8 publications
583 citations

Universidad de Alcalá
Alcalá de Henares, Spain
4 h-index
8 publications
1.1K citations

Peking University
Beijing, China
3 h-index
17 publications
407 citations

University of Waterloo
Waterloo, Canada
3 h-index
5 publications
330 citations
1–8 of 190
8 publications · 749 citations
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7 publications · 466 citations
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IJGI · 7 publications · 216 citations
7
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5 publications · 126 citations
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4 publications · 220 citations
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