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- W2967351176 abstract "The rapid development of remote-sensing data acquisition technology means that the resolution of remote-sensing image has been continuously improved, resulting in the large scale of remote-sensing image data and the increase of redundant information, which restricts the image processing and analysis. However, super-pixel segmentation method mainly aimed at the general image segmentation algorithm, rarely for remote-sensing image. Therefore, here, the polarisation decomposition of full-polarised remote-sensing images is used to synthesise pseudo-colour images. Then, based on the region, the image segmentation algorithm based on the colour feature of SLIC super-pixel segmentation algorithm is used to make it have important application value in remote-sensing image target extraction. Here, the image of Danjiangkou reservoir obtained by high-resolution space-borne SAR is selected as the research object. Finally, the polarisation decomposition and segmentation of full-polarised remote-sensing images are realised, and the advantages of SLIC super-pixel algorithm are proved." @default.
- W2967351176 created "2019-08-22" @default.
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- W2967351176 date "2019-08-15" @default.
- W2967351176 modified "2023-09-27" @default.
- W2967351176 title "SLIC segmentation method for full‐polarised remote‐sensing image" @default.
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- W2967351176 doi "https://doi.org/10.1049/joe.2019.0337" @default.
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