Classification of Arctic sea ice with TerraSAR-X polarimetric data

doi:10.6046/gtzyyg.2014.03.21

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Abstract Arctic sea ice has become a hot topic in the research on globe climate change, because it has been affected by the global climate change and can in turn affect the global climate. The traditional survey methods are seriously limited by the severe climate and environment of Arctic area. The development of remote sensing, especially for the Synthetic Aperture Radar (SAR) and Polarimetric SAR, can yield more effective methods for data acquisition in the study of Arctic sea ice. In this paper, the TerraSAR-X polarimetric data and the SEATH(SEparability and THresholds)object-oriented algorithm have been introduced to evaluate the capability of polarimetric features in the Arctic sea ice classification, and some classification examples are presented to show their performances. The classification results demonstrate that the polarimetric features of |VV|, T11 and SPAN show a better performance in Arctic sea ice extraction. The achievement will provide a theoretical foundation for the classification of large-area Arctic sea ice and the parameter design of sea ice monitoring satellites.

Keywords light detection and ranging (LiDAR) point cloud segmentation Euclidean Space

TP79

Issue Date: 01 July 2014

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	YU Liang
	LI Ting
	ZHAN Qingming
	YU Kun

Cite this article:

YU Liang,LI Ting,ZHAN Qingming, et al. Classification of Arctic sea ice with TerraSAR-X polarimetric data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 130-134.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.03.21 OR https://www.gtzyyg.com/EN/Y2014/V26/I3/130

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