Abstract | ||
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•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 |
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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 | 1 | 7 | 6.26 |
Lin Lei | 2 | 27 | 6.54 |
Xiao Li | 3 | 0 | 1.69 |
Hao Sun | 4 | 56 | 7.07 |
Gangyao Kuang | 5 | 347 | 31.11 |