Comparison of decompositions for pol-SAR image interpretation

Comparison of decompositions for pol-SAR image interpretation
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pol-SAR 图像解译的分解比较

DOI：
10.1109/igarss.2000.858104
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发表时间：
2000
期刊：
IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)
影响因子：
--
通讯作者：
E. Krogager
E. Krogager
中科院分区：
--
文献类型：
--
作者：
M. Hellmann;E. Krogager

文献摘要

被引文献

相似文献

全偏振数据提供的一个独特选项是可以分离不同性质的散射贡献。为此目的，已经导出了几种分解技术，并且目前正应用于分析和解释极化雷达数据。本文回顾了雷达极化测量中应用的各种分解，并尝试评估它们在 POLSAR 数据分析中的适用性，特别是在目标识别和分类方面。
A unique option provided by fully polarimetric data is the possibility to separate scattering contributions of different nature. For this purpose several decomposition techniques have been derived, and are currently being applied to analyze and interpret polarimetric radar data. In this paper, various decompositions with applications to radar polarimetry are reviewed, and an attempt is made to assess their applicability to POLSAR data analysis, especially in relation to target identification and classification.