Application of Chinese single polarization SAR data in automatic identification of manganese slag pools

doi:10.6046/gtzyyg.2014.04.19

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Abstract To explore the role of Chinese single polarization SAR data in auto-recognition of manganese slag pools and improve recognition accuracy for manganese slag pools coupled with optical data, the authors chose confusing goals with manganese slag pools in the optical image, and analyzed qualitatively their scattering properties and the difference in SAR and optical images. Based on the results of analysis, the authors carried out the research on auto- identification of manganese slag pools. The optical image was segmented using object-oriented approach. The authors selected the typical manganese slag pools and confusing objects in optical image, and calculated the texture characteristics of the samples. The experiment results show that manganese slag pools recognition rules in the SAR image could be established effectively through SAR texture features, and this provides the basis for the realization of the combination of radar data with optical SAR data for automatic identification of manganese slag pools on computer.

Keywords geometric accurate rectification FAST algorithm HJ satellite Delaunay model linear rubber sheeting

TP79

Issue Date: 17 September 2014

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	LI Quanwen
	ZHAO Weilin
	YANG Xiaomei
	LIU Xingquan
	ZHANG Tao

Cite this article:

LI Quanwen,ZHAO Weilin,YANG Xiaomei, et al. Application of Chinese single polarization SAR data in automatic identification of manganese slag pools[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 119-124.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.04.19 OR https://www.gtzyyg.com/EN/Y2014/V26/I4/119

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