SLIC segmentation method for full-polarised remote-sensing image

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.

Keywords

• image segmentation
• feature extraction
• image resolution
• geophysical image processing
• image colour analysis
• data acquisition
• synthetic aperture radar
• remote sensing by radar
• radar imaging
• spaceborne radar
• remote-sensing data acquisition technology
• remote-sensing image data
• general image segmentation algorithm
• remote-sensing image target extraction
• remote-sensing image resolution
• polarisation decomposition
• pseudo-colour image synthesis
• colour feature
• slic super-pixel segmentation algorithm
• danjiangkou reservoir
• high-resolution space-borne sar