基于gb-sar成像的极化目标分解性能研究

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2021-02-01 DOI:10.26833/ijeg.665175
S. Demirci, C. Ozdemir
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引用次数: 4

摘要

地面合成孔径雷达(GB-SAR)系统主要用于提高对微波后向散射复杂机制的理解。它们还提供了关于评估机载或星载SAR应用的极化分析有效性的补充信息。本研究通过测试极化L波段GB-SAR成像在典型地形和各种人造目标下的性能,研究了其成像的一些能力。由于三角角反射器在数据校准中的重要性,分析中也包括了三角角反射器。从振幅图像的定性评估以及通过目标分解技术识别和分类散射机制的角度,分析了不同目标的偏振后向散射特征。介绍了这些分析和详细讨论的结果。具体而言,熵/平均α((H/α))分类结果能够清楚地识别所研究场景中发生的主要散射机制。
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AN INVESTIGATION OF THE PERFORMANCES OF POLARIMETRIC TARGET DECOMPOSITIONS USING GB-SAR IMAGING
Ground-based synthetic aperture radar (GB-SAR) systems are mostly utilized to be practical practices in improved understanding of the complex mechanism of microwave backscattering. They also provide complementary information on evaluating the validity of the polarimetric analysis of air-borne or satellite-borne SAR applications. This study investigates some capabilities of polarimetric L-band GB-SAR imaging by testing its performance against a typical terrain and various kinds of manmade targets. Trihedral corner reflectors are also included in the analyses because of their importance in data calibration. Polarimetric backscattering signatures of different targets are analyzed in terms of qualitative assessment of amplitude images and identification and classification of scattering mechanisms through target decomposition techniques. The findings of these analyses and detailed discussions are presented. Specifically, the entropy/mean-alpha ((H/α )) classification results are shown to be capable of clearly identifying the dominant scattering mechanisms occurring within the investigated scene.
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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