Multi-spectral Image Analysis
Multi-Spectral Image Analysis is a methodological framework in remote sensing that enables the extraction and interpretation of surface material properties by analyzing reflected electromagnetic radiation across multiple discrete, non-contiguous spectral bands, distinguishing it from panchromatic or hyperspectral approaches through its targeted, multi-band spectral resolution.
664
Publications
32.4K
Citations
2.3K
Authors
893
Institutions
Publications per year
2017–2026
204
664
Multispectral pedestrian detection: Benchmark dataset and baseline
Soonmin Hwang, Jaesik Park, Nam Il Kim et al. · 2015 · 1.1K citations
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification
Zhixiang Wang, Zheng Wang, Yinqiang Zheng et al. · 2019 · 493 citations
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893

Chinese Academy of Sciences
Beijing, China
13 h-index
34 publications
4.2K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
49 publications
2.4K citations
Wuhan University
Wuhan, China
13 h-index
48 publications
2.1K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
10 h-index
24 publications
3.8K citations

Xidian University
Xi'an, China
9 h-index
31 publications
1K citations

Zhejiang University
Hangzhou, China
8 h-index
24 publications
614 citations
Goddard Space Flight Center
Greenbelt, United States
8 h-index
9 publications
353 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
8 h-index
20 publications
3.2K citations
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51 publications · 3.1K citations
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42 publications · 2.2K citations
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26 publications · 465 citations
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12 publications · 976 citations
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9 publications · 317 citations
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