Land cover classification and height extraction experiments using Chinese airborne X-band PolInSAR system in China. (2nd July 2016)

• Record Type: Journal Article
• Authors: Lu, Lijun; Zhang, Jixian; Huang, Guoman; Su, Xuepeng
• Is Part Of: International journal of image and data fusion. Volume 7:Number 3(2016)
• Page Start: 282
• Page End: 294
• Publication Date: 2016-07-02
• Subjects: Oriented-Object classification -- Entropy–PSD classification -- dual-baseline polarimetric interferometry -- height extraction; Image processing -- Periodicals; Multisensor data fusion -- Periodicals; Multisensor data fusion; Periodicals; 621.36705
• DOI: 10.1080/19479832.2015.1034296
• Languages: English
• ISSNs: 1947-9832

Abstract

Abstract : In this paper, we describe our land cover classification and height extraction experiments with high-resolution X-band polarimetric interferometric synthetic aperture radar (PolInSAR) data acquired by Chinese airborne PolInSAR system over Linshui in southern China. The experimental area contains plenty of natural and artificial objects. We present two polarimetric synthetic aperture radar (PolSAR) classification schemes for different land cover types. An Oriented-Object classification scheme based on hierarchical segmentation is employed to the regular land cover classification experiment. The Entropy–PSD unsupervised classification method based on pixel is employed to the low backscattering targets classification experiment. Fully taking advantage of the characteristics of the multi-baseline data set, a dual-baseline polarimetric interferometry method is applied to the PolInSAR experiment of height extraction. Our PolSAR and PolInSAR experiment results demonstrate that high-resolution X-band PolInSAR imagery acquired by Chinese airborne SAR system have great application potential for land classification and height extraction.