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- W4313155246 abstract "The paper presents an unsupervised procedure for change mapping from two very-high-resolution (VHR) SAR acquisitions. Following the approach proposed in [1], the method exploits the characteristics of a robust, parametric, high-order statistics change feature by extending it to a multiscale version, namely Multi-scale Kullback-Leibler (MKL) feature. Its effectiveness is experimentally confirmed on simulated and real VHR amplitude SAR image pairs. The thresholding algorithm is revisited, optimized and tested on true CosmoSkyMed (CSK) images. The experimental tests demonstrate the robustness and quality of the proposed change mapping method, which can be applied for damage assessment in disaster management systems." @default.
- W4313155246 created "2023-01-06" @default.
- W4313155246 creator A5058002875 @default.
- W4313155246 date "2022-07-17" @default.
- W4313155246 modified "2023-10-16" @default.
- W4313155246 title "Unsupervised VHR SAR Change Mapping" @default.
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- W4313155246 doi "https://doi.org/10.1109/igarss46834.2022.9884601" @default.
- W4313155246 hasPublicationYear "2022" @default.
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