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A Joint Morphological Profiles and Patch Tensor Change Detection for Hyperspectral Imagery. (arXiv:2201.08027v1 [cs.CV])
Jan. 21, 2022, 2:10 a.m. | Zengfu Hou, Wei Li
cs.CV updates on arXiv.org arxiv.org
Multi-temporal hyperspectral images can be used to detect changed
information, which has gradually attracted researchers' attention. However,
traditional change detection algorithms have not deeply explored the relevance
of spatial and spectral changed features, which leads to low detection
accuracy. To better excavate both spectral and spatial information of changed
features, a joint morphology and patch-tensor change detection (JMPT) method is
proposed. Initially, a patch-based tensor strategy is adopted to exploit
similar property of spatial structure, where the non-overlapping local patch …
More from arxiv.org / cs.CV updates on arXiv.org
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