Wide-swath SAR ice images segmentation based on Lambert’s law

doi:10.6046/gtzyyg.2017.02.10

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Abstract Incidence angle effect of the SAR images is a major obstacle to the automatic interpretation of SAR sea ice image. Based on wide-swath SAR ice data, this paper proposes a new segmentation algorithm which integrates Lambert’s law correction step. The segmentation algorithm considers the effects of speckle noise and the angle of incidence of factors. The Lambert’s law correction and region merging will be combined. The efficiency of the proposed method has been demonstrated on the segmentation of synthetic SAR sea ice image and gulf of Bothnia SAR sea ice image, where the segmentation accuracy has been substantially improved in contrast to area-based Markov random field(MRF) algorithm.

Keywords texture feature seeded region growing (SRG) hierarchical region growing (HRG) high-resolution remote sensing image(HRI) image segmentation

Issue Date: 03 May 2017

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	SU Tengfei
	ZHANG Shengwei
	LI Hongyu

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SU Tengfei,ZHANG Shengwei,LI Hongyu. Wide-swath SAR ice images segmentation based on Lambert’s law[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 67-71.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.02.10 OR https://www.gtzyyg.com/EN/Y2017/V29/I2/67

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