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access icon openaccess SLIC segmentation method for full-polarised remote-sensing image

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 20/02/2019, Accepted 03/05/2019, Published 30/05/2019

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.

Inspec keywords: image resolution; image colour analysis; image segmentation; geophysical image processing; data acquisition; feature extraction; spaceborne radar; remote sensing by radar; synthetic aperture radar; radar imaging

Other keywords: SLIC super-pixel segmentation algorithm; remote-sensing image resolution; remote-sensing data acquisition technology; high-resolution space-borne SAR; Danjiangkou reservoir; colour feature; polarisation decomposition; pseudo-colour image synthesis; remote-sensing image target extraction; general image segmentation algorithm; remote-sensing image data

Subjects: Radar equipment, systems and applications; Image recognition; Computerised instrumentation; Computer vision and image processing techniques; Geophysical techniques and equipment; Data and information; acquisition, processing, storage and dissemination in geophysics; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research; Geophysics computing; Data acquisition systems

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