Multisource Classification is a classification framework in landscape analysis that integrates data from multiple heterogeneous sources or modalities to enhance the accuracy, robustness, and comprehensiveness of landscape typologies by leveraging complementary spatial, temporal, and thematic information.
164
Publications
15.8K
Citations
549
Authors
267
Institutions
Publications per year
2017–2026
78
Parents
Publications
164
Gustau Camps‐Valls, Luis Gómez‐Chova, José Luis Rojo‐Álvarez et al. · IEEE Transactions on Geoscience and Remote Sensing · 2008 · 369 citations · Full text
1–5 of 164
Authors
549
- JA
14
h-index
- WL
13
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- PH
11
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- RT
10
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- QD
9
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1–5 of 549
Institutions
267
Beijing Institute of Technology
Beijing, China
13 h-index
53 publications
4.4K citations
Purdue University West Lafayette
West Lafayette, United States
12 h-index
21 publications
4.5K citations
University of Iceland
Reykjavik, Iceland
11 h-index
23 publications
2.8K citations
Mississippi State University
Starkville, United States
10 h-index
11 publications
1.5K citations
Chinese Academy of Sciences
Beijing, China
10 h-index
32 publications
2.4K citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
14 publications
503 citations
Australian National University
Canberra, Australia
4 h-index
6 publications
401 citations
Wuhan University
Wuhan, China
4 h-index
12 publications
725 citations
1–8 of 267
Venues
- IEEE Transactions on Geoscience and Remote Sensing
35 publications · 5.3K citations
31
h-index
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
9 publications · 350 citations
9
h-index
- Remote Sensing
8 publications · 278 citations
8
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- International Journal of Remote Sensing
7 publications · 3.9K citations
7
h-index
- IEEE Transactions on Neural Networks and Learning Systems
6 publications · 738 citations
6
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1–5