Pixel-based Change Attribution
Pixel-Based Change Attribution is a computational method in remote sensing image analysis that identifies and quantifies spatiotemporal changes at the individual pixel level by comparing multispectral or multitemporal satellite imagery through statistical or machine learning models.
6
Publications
206
Citations
22
Authors
16
Institutions
Publications per year
2017–2026
3
Parents
6
Akanksha Balha, Javed Mallick, Suneel Pandey et al. · Earth Science Informatics · 2021 · 68 citations
Wei Zhao, Ainong Li, Xi Nan et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2017 · 58 citations
Natural Sciences, Earth Sciences, Geological Engineering +15
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16

Energy and Resources Institute
New Delhi, India
1 h-index
1 publications
68 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
58 citations
King Khalid University
Abhā, Saudi Arabia
1 h-index
1 publications
68 citations

Southern General Hospital
Glasgow, United Kingdom
1 h-index
1 publications
13 citations

Zhejiang Normal University
Jinhua, China
1 h-index
3 publications
78 citations

University of Szeged
Szeged, Hungary
1 h-index
4 publications
52 citations
University of Nottingham Ningbo China
Ningbo, China
1 h-index
1 publications
26 citations
International Geographical Union
Cape Town, South Africa
1 h-index
1 publications
26 citations
1–8 of 16
1 publications · 26 citations
1
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1 publications · 13 citations
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1 publications · 21 citations
1
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1 publications · 68 citations
1
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1 publications · 20 citations
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