Multi-temporal and Dual-polarization Interferometric SAR for Land Cover Type Classification

doi:10.11947/j.AGCS.2015.20130244

Abstract

Abstract:

In order to study SAR land cover classification method, this paper uses the multi-dimensional combination of temporal,polarization and InSAR data. The area covered by space borne data of ALOS PALSAR in Xunke County,Heilongjiang Province was chosen as test site. A land cover classification technique of SVM based on multi-temporal, multi-polarization and InSAR data had been proposed, using the sensitivity to land cover type of multi-temporal, multi-polarization SAR data and InSAR measurements, and combing time series characteristic of backscatter coefficient and correlation coefficient to identify ground objects. The results showed the problem of confusion between forest land and urban construction land can be nicely solved, using the correlation coefficient between HH and HV, and also combing the selected temporal, polarization and InSAR characteristics. The land cover classification result with higher accuracy is gotten using the classification algorithm proposed in this paper.

Key words: multi-temporal, polarization, InSAR, land cover classification

CLC Number:

P227

WANG Xinshuang, CHEN Erxue, LI Zengyuan, YAO Wanqiang, ZHAO Lei. Multi-temporal and Dual-polarization Interferometric SAR for Land Cover Type Classification[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(5): 533-540.

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