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Open AccessFeature PaperReview

Review of the Comprehensive SAR Approach to Identify Scattering Mechanisms of Radar Backscatter from Vegetated Terrain

1
Mitsubishi Space Software Co., Ltd. Kamakura 247-0065, Japan
2
Department of Information Engineering, Niigata University, Niigata 950-2181, Japan
3
Applied Electromagnetic Research Institute, National Institute of Information and Communications Technology, Tokyo 184-8795, Japan
4
Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba 305-8505, Japan
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(10), 1098; https://doi.org/10.3390/electronics8101098
Received: 28 June 2019 / Revised: 1 September 2019 / Accepted: 27 September 2019 / Published: 29 September 2019
In a field of polarimetric synthetic aperture radar (SAR) remote sensing, various kinds of polarimetric decomposition techniques have been proposed. However, poor validations prevent them from operational applications. A true composition ratio of scattering mechanisms within a radar backscatter plays a key role. To overcome the issue, a novel comprehensive SAR approach to accurately identify a contribution of each scattering mechanism has been introduced. This is based on multiparametric SAR observation combined with a numerical model simulation. In this article, a comprehensive SAR approach is concisely reviewed to accelerate the research in this field. First, popular model-based polarimetric decompositions are introduced and their limitations are shown. Then, a behavior of scattering mechanisms is analyzed by the discrete scatterer model with some results using real multiparametric SAR data. A comprehensive SAR approach must be essential to realize an operational use of polarimetric SAR data. View Full-Text
Keywords: comprehensive SAR; multiparametric SAR observation; discrete scatterer model comprehensive SAR; multiparametric SAR observation; discrete scatterer model
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MDPI and ACS Style

Arii, M.; Yamada, H.; Kojima, S.; Ohki, M. Review of the Comprehensive SAR Approach to Identify Scattering Mechanisms of Radar Backscatter from Vegetated Terrain. Electronics 2019, 8, 1098.

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