Title
Nonlocal patch similarity based heterogeneous remote sensing change detection
Abstract
•An unsupervised change detection framework is proposed by constructing graphs based on nonlocal patch similarity to make heterogeneous data comparable.•The graphs are compared on the same domain to avoid the leakage of heterogeneous data.•The forward and backward change detection results are fused by distribution oriented way.
Year
DOI
Venue
2021
10.1016/j.patcog.2020.107598
Pattern Recognition
Keywords
DocType
Volume
Unsupervised change detection,Heterogeneous data,Nonlocal similarity,Graph
Journal
109
Issue
ISSN
Citations 
1
0031-3203
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
yuli sun 孙玉立176.26
Lin Lei2276.54
Xiao Li301.69
Hao Sun4567.07
Gangyao Kuang534731.11