Aerial Image Segmentation
Aerial Image Segmentation is a specialized form of semantic segmentation that categorizes pixels in high-resolution aerial imagery according to distinct geographic or man-made features, differentiating itself from other semantic segmentation tasks by its focus on overhead views and unique challenges such as scale variability, viewpoint invariance, and dense urban structures.
528
Publications
32.9K
Citations
1.9K
Authors
607
Institutions
Publications per year
2017–2026
417
528
Road Extraction by Deep Residual U-Net
Zhengxin Zhang, Qingjie Liu, Yunhong Wang · IEEE Geoscience and Remote Sensing Letters · 2018 · 3.1K citations · Full text
Orientation robust object detection in aerial images using deep convolutional neural network
Haigang Zhu, Xiaogang Chen, Weiqun Dai et al. · 2015 · 469 citations
UAVid: A semantic segmentation dataset for UAV imagery
Ye Lyu, George Vosselman, Gui-Song Xia et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 374 citations · Full text
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Chinese Academy of Sciences
Beijing, China
24 h-index
120 publications
8.1K citations
University of Chinese Academy of Sciences
Beijing, China
21 h-index
64 publications
5.6K citations
Wuhan University
Wuhan, China
17 h-index
77 publications
8.5K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
13 h-index
41 publications
4.7K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
12 h-index
33 publications
1.4K citations
ETH Zurich
Zurich, Switzerland
11 h-index
27 publications
3.5K citations
Aerospace Information Research Institute
Beijing, China
11 h-index
57 publications
2.7K citations

King Saud University
Riyadh, Saudi Arabia
9 h-index
9 publications
707 citations
1–8 of 607
78 publications · 4.3K citations
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35 publications · 4.8K citations
29
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18 publications · 1.1K citations
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GRSL · 23 publications · 4.1K citations
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16 publications · 707 citations
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