Texture Change Detection
Texture Change Detection is a methodological framework within texture analysis that identifies alterations in textural patterns across spatial or temporal domains by comparing structural attributes of image regions to determine significant deviations indicative of change.
62
Publications
2.6K
Citations
201
Authors
110
Institutions
Publications per year
2017–2026
16
Parents
62
Automatic recognition of landslide based on CNN and texture change detection
Anzi Ding, Qingyong Zhang, Xinmin Zhou et al. · 2016 · 142 citations
Fanny Orlhac, Christophe Nioche, Michaël Soussan et al. · Journal of Nuclear Medicine · 2016 · 118 citations · Full text
1–5 of 62
201
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Sant Longowal Institute of Engineering and Technology, India
4 publications · 209 citations
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Sant Longowal Institute of Engineering and Technology, India
4 publications · 209 citations
4
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4
h-index
University of Maryland, College Park, United States
3 publications · 55 citations
3
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1–5 of 201
110
University of Maryland, College Park
College Park, United States
8 h-index
20 publications
673 citations

Graphic Era University
Dehradun, India
3 h-index
5 publications
101 citations

Sant Longowal Institute of Engineering and Technology
Sangrur, India
3 h-index
6 publications
390 citations
University of Iowa
Iowa City, United States
2 h-index
8 publications
177 citations

University of Alberta
Edmonton, Canada
2 h-index
18 publications
402 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
68 citations
National Institutes of Health
Bethesda, United States
2 h-index
5 publications
331 citations

Ghent University
Ghent, Belgium
2 h-index
9 publications
153 citations
1–8 of 110
10 publications · 289 citations
10
h-index
2 publications · 111 citations
2
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2 publications · 32 citations
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2 publications · 51 citations
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1 publications · 29 citations
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