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- W2394472587 abstract "Given that shadow area has complicated background and strong inhomogeneity in remote sensing images,there are some problems like color distortion,feature information loss and unable texture preserving in the existing shadow removal algorithms. This paper proposed a shadow removal method based on non-uniform regularization for texture-preserving. Shadow detection of remote sensing images based on local-classification level set and color feature was adopted to extract the shadow area,and at the same time the non-homogeneous factors were extracted from the level set segmentation model to compute regularized weight coefficient of shadow scale for non-uniform regularization. Experimental results show that the method improves shadow detection rate and reduces artificial participation,enhances texture details after shadow removal and has good effect of shadow removal." @default.
- W2394472587 created "2016-06-24" @default.
- W2394472587 creator A5040175026 @default.
- W2394472587 date "2015-01-01" @default.
- W2394472587 modified "2023-09-24" @default.
- W2394472587 title "Shadow removal of remote sensing images based on inhomogeneous regularized texture-preserving" @default.
- W2394472587 hasPublicationYear "2015" @default.
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