DOI: 10.5194/tc-7-1693-2013
Scopus记录号: 2-s2.0-84887471972
论文题名: Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts
作者: Moen M ; -A ; N ; , Doulgeris A ; P ; , Anfinsen S ; N ; , Renner A ; H ; H ; , Hughes N ; , Gerland S ; , Eltoft T
刊名: Cryosphere
ISSN: 19940416
出版年: 2013
卷: 7, 期: 6 起始页码: 1693
结束页码: 1705
语种: 英语
英文关键词: algorithm
; backscatter
; comparative study
; estimation method
; in situ measurement
; radar imagery
; satellite imagery
; sea ice
; segmentation
; synthetic aperture radar
英文摘要: In this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by available in situ measurements. The segmentation result was then compared to ice charts drawn by ice service analysts. The comparison revealed big discrepancies between the charts of the analysts, and between the manual and the automatic segmentations. In the succeeding analysis, the automatic segmentation chart was labeled into ice types by sea ice experts, and the SAR features used in the segmentation were interpreted in terms of physical sea ice properties. Utilizing polarimetric information in sea ice charting will increase the efficiency and exactness of the maps. The number of classes used in the segmentation has shown to be of significant importance. Thus, studies of automatic and robust estimation of the number of ice classes in SAR sea ice scenes will be highly relevant for future work. © 2013 Author(s). CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75019
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Department of Physics and Technology, University of Tromsø, 9037 Tromsø, Norway; Norwegian Polar Institute, FRAM Centre, 9296 Tromsø, Norway; Norwegian Ice Service, Norwegian Meteorological Institute, 9293 Tromsø, Norway; Northern Research Institute, 9294 Tromsø, Norway
Recommended Citation:
Moen M,-A,N,et al. Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts[J]. Cryosphere,2013-01-01,7(6)