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Theoretical Characterization of X-Band Multiincidence Angle and Multipolarimetric SAR Data From Rice Paddies at Late Vegetative Stage

机译:水稻后期X波段多入射角和多极化SAR数据的理论表征

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Various polarimetric decomposition techniques have been proposed and demonstrated for more than 20 years. However, they still have never been operational applications because of insufficient validations. The true composition ratio of scattering mechanisms within a radar backscatter has to be known. To achieve this, a novel comprehensive approach to accurately identify the contribution of each scattering mechanism by a multiincidence angle and multipolarimetric (MIMP) synthetic aperture radar (SAR) observation combined with a theoretical model simulation is introduced. Rice paddies in Niigata City in Japan having a simple vegetation structure without topography were observed by X-band polarimetric and interferometric SAR 2 (Pi-SAR2), by gradually varying the flight path in terms of incidence angle. In addition to the MIMP SAR observation, a dominant scattering mechanism is reliably isolated through the theoretical characterization of the data by a discrete scatterer model. In the case of the rice paddies at a late vegetative stage, a dominant scattering on HH gradually varies from the double-bounce scattering to the volume scattering of rice grains in terms of incidence angle, whereas VV is affected by various volume scatterings of grains, leaves, and stems at the small, medium, and large incidence angles, respectively. HV is simply affected by the volume scattering of grains at the small incidence angle, and then it gradually switches to the volume scattering of the stalks. This brand new approach by the MIMP SAR observation with the theoretical modeling for this specific stage could take forward the polarimetric decomposition studies.
机译:已经提出并证明了各种极化分解技术已经超过20年。但是,由于验证不充分,它们仍然从未投入运营。雷达反向散射内散射机制的真实组成比必须是已知的。为此,介绍了一种新颖的综合方法,该方法通过多入射角和多极化(MIMP)合成孔径雷达(SAR)观测并结合理论模型仿真来准确识别每个散射机制的贡献。通过逐渐改变入射角的飞行路径,通过X波段偏光和干涉SAR 2(Pi-SAR2)观测到日本新泻市的稻田,它们的植被结构简单,没有地形。除了MIMP SAR观测之外,通过离散散射模型通过数据的理论表征,可以可靠地隔离主要的散射机制。在稻草处于营养后期的情况下,HH上的主要散射从入射角方面的双反弹散射到水稻籽粒的体积散射逐渐变化,而VV受谷物的各种体积散射影响,叶子和茎分别以小,中和大入射角入射。 HV仅仅受晶粒在小入射角处的体积散射的影响,然后逐渐切换到茎的体积散射。 MIMP SAR观测的这种全新方法以及针对该特定阶段的理论模型可以推动极化分解研究。

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