Approach to the classification of sea ice in Liaodong Bay using HJ-1C SAR data

doi:10.6046/gtzyyg.2014.03.20

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Abstract Sea ice classification is an important basis for the sea ice forecast in that many parameters such as the maximum of sea ice extent can be derived from that. An approach to sea ice classification using HJ-1C SAR data, which is the first civil spaceborne SAR system of China, is presented in this paper. The data were S-band and VV polarized and acquired over Liaodong Bay. Three types of information were extracted from the SAR data, including the uncalibrated backscattering coefficients and the gray level co-occurrence matrices. Besides, the level ice concentration was introduced as the classification basis. It proves to be effective in sea ice classification, especially in the separation between brash ice and wind-roughened open water. Based on all the information, the authors implemented the classifier fusion which combines the maximum likelihood and the decision tree. With the optical data from HJ-1B for validation, a good result is obtained, in which the brash ice, level ice and open water are well distinguished.

Keywords irrigated land dry land spring wheat canopy spectral reflectance characteristics

TP75

Issue Date: 01 July 2014

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	JIN Yanhua
	XIONG Heigang
	ZHANG Fang

Cite this article:

JIN Yanhua,XIONG Heigang,ZHANG Fang. Approach to the classification of sea ice in Liaodong Bay using HJ-1C SAR data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 125-129.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.03.20 OR https://www.gtzyyg.com/EN/Y2014/V26/I3/125

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