New 3-dimensional imaging of land cover by polarimetric and interferometric SAR

利用偏振和干涉 SAR 对土地覆盖进行新的 3 维成像

• 批准号: 13650457
• 负责人: YAMAGUCHI Yoshio
• 金额: $ 2.18万
• 依托单位: NIIGATA UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2001
• 资助国家: 日本
• 起止时间: 2001 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13650457/
• 关键词: Synthetic Aperture Radar; Scattering Matrix; Polarization; Radar Polarimetry; Interferometry; Coherence

This research aims at three-dimensional imaging of land cover using polarimetric and interferometric information obtained by Polarimetric and Interferometric Synthetic Aperture Radar (Pol-InSAR). The coherence between the scattering matrix elements yields information necessary for extracting scattering centers of two different height. This bring us the tree height estimation which is useful for estimating tree biomass. Therefore, the role of Pol-InSAR data is mandatory for monitoring the earth environment as regards CO_2 reduction.In this research project, we first carried out re-theoretical establishment on radar-polarimetry. Based on the principles, we verified the formulations of coherency, decomposition, polarimetric entropy, and averaged angle alpha in terms of scattering matrix elements. Then the coherency formulation is newly developed using ESPRIT algorithm, which can yield highly accurate scattering centers. Using E-SAR data set provided by DLR, Germany, actual tree height estimation was carried out successfully by the ESPRIT algorithm. The calculated result shows the effectiveness of Pol-InSAR data and also that two-polarization data yields similar tree height estimation. The overall results conducted by this project reveal that repeat-pass polarimetric data-take will provide us with tree height estimation which is necessary for biomass estimation.

本研究的目的是利用极化和干涉合成孔径雷达（Pol-InSAR）获得的极化和干涉信息对土地覆盖进行三维成像。散射矩阵元素之间的相干性产生提取两个不同高度的散射中心所需的信息。这就引出了树高的估计问题，它对树木生物量的估计是有用的。因此，Pol-InSAR数据在CO_2减排地球环境监测中的作用是必不可少的。基于这些原理，我们用散射矩阵元验证了相干性、分解、极化熵和平均角α的公式。利用ESPRIT算法推导了相干公式，该公式可以得到高精度的散射中心。利用德国DLR提供的E-SAR数据集，利用ESPRIT算法成功地进行了实际树高的估计。计算结果表明，极化InSAR数据的有效性，也是两个极化数据产生类似的树高估计。本计画之整体结果显示，重复传递极化资料将提供生物量估测所需之树高估测。

项目成果

Hiroyoshi Yamada: "Polarimetric SAR Interferometry for Forest Analysis Based on the ESPRIT Algorithm"IEICE Trans. Electronics. vol.E84-C, no.12. 1917-1924 (2001)

Hiroyoshi Yamada：“基于 ESPRIT 算法的偏振 SAR 干涉测量法用于森林分析”IEICE Trans。

Kenji Kitayama: "Compound scattering matrix of targets aligned in the range direction"IEICE Trans.Communications. vol.E84-B no.1. 81-88 (2001)

Kenji Kitayama：“在距离方向上排列的目标的复合散射矩阵”IEICE Trans.Communications。

Yoshio Yamaguchi, Koji Kimura, Hiroyoshi Yamada: "ALOS-PALSAR image simulation in various polarization basis"International Geoscience and Remote Sensing Symposium 2002 (IGRASS 2002), Toronto, Canada, June, 2002. (2002)

Yoshio Yamaguchi、Koji Kimura、Hiroyoshi Yamada：“各种偏振基础下的 ALOS-PALSAR 图像模拟”2002 年国际地球科学与遥感研讨会 (IGRASS 2002)，加拿大多伦多，2002 年 6 月。(2002 年)

Yoshio Yamaguchi: "PI-SAR Image Analyses"Proc. of 2001 Asia Pacific-Radio Science Conference. 165-165 (2001)

Yoshio Yamaguchi：“PI-SAR 图像分析”Proc。

Yoshio Yamaguchi: "ALOS-PALSAR image simulation in various polarization basis"International Geoscience and Remote Sensing Symposium 2002. (CD-ROM). (2002)

Yoshio Yamaguchi：“各种偏振基础下的ALOS-PALSAR图像模拟”2002年国际地球科学与遥感研讨会。（CD-ROM）。