首页> 外文会议>Proceedings of international workshop on science and applications of SAR polarimetry and polarimetric interferometry >FOUR-COMPONENT DECOMPOSITION WITH JOINT ANGLE COMPENSATION FOR ELLIPTICITY ANGLE AND ORIENTATION ANGLE
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FOUR-COMPONENT DECOMPOSITION WITH JOINT ANGLE COMPENSATION FOR ELLIPTICITY ANGLE AND ORIENTATION ANGLE

机译:椭圆角和定向角的联合角补偿四分量分解

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摘要

An improved four-component decomposition is proposedrnto solve the volume scattering overestimationrnproblem based on the Joint Angle Compensation (JAC)rnfor the ellipticity angle and orientation angle for polarimetricrnsynthetic aperture radar (POLSAR) data. Thernvolume scattering component is overestimated in differentrndegrees in the four-component decomposition. ThernJAC, together with Ellipticity Angle Compensationrn(EAC), is first introduced and applied to POLSAR datarnin the proposed decomposition, which increases thernnumber of elements of the coherency matrix used in therndecomposition to eight and relieves the problem of volumernscattering overestimation. The effectiveness of thernproposed decomposition is validated using Radarsat-2rnfull polarimetric data collected over Suzhou City, China.rnThe experimental results demonstrate that the proposedrndecomposition can correctly interpret the mechanismsrnof built-up areas and drastically decrease the number ofrnnegative power pixels.
机译:针对极化合成孔径雷达(POLSAR)数据的椭圆度角和方向角的联合角补偿(JAC),提出了一种改进的四分量分解方法,解决了体积散射高估问题。在四组分分解过程中,不同程度地高估了体积散射组分。首先将TheJAC与椭圆率角补偿(EAC)一起引入并应用于所建议的分解中的POLSAR数据,这将用于分解的相干矩阵的元素数增加到8,并减轻了体积散射高估的问题。实验结果表明,所提出的分解方法能够正确地解释积聚区域的机理,并大幅度减少了负功率像素的数量。

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  • 会议地点 Frascati(IT)
  • 作者单位

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing, China. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing, China Email: zhanghong@radi.ac.cn;

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing, China;

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing, China;

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences,Beijing, China. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China;

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