Extracting sea ice parameters from SAR imagettes

被引：0
|
作者：
König, T [1 ]
Niedermeier, A [1 ]
Lehner, S [1 ]
机构：
[1] Deutsch Zentrum Luft & Raumfahrt EV DLR, D-82234 Wessling, Germany
来源：
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
From raw ERS wavemode data, complex SAR images of size 5 km x 10 krn - so called imagettes - were computed using the BSAR processor at the German Aerospace Center (DLR). Being collected every 200 km along the orbit, imagettes provide a relatively dense coverage especially over polar oceans up to 84,degrees North. Several statistical measures have been introduced for analysis of imagettes; classifying ice free and ice contaminated imagettes as well as deriving sea ice parameters such as ice concentration, deformation energy, and ridge frequency. The results are compared to SSM/I data and sea ice model results. In addition, a wavelet-based edge detector is used to examine the ice surface structure. Using the imagettes; in an automatic extraction system can provide global statistics of sea state and sea ice parameters from both upcoming ENVISAT and historic ERS data providing a 10 year dataset.
引用
收藏
页码：1515 / 1517
页数：3
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