講演抄録/キーワード |
講演名 |
2022-12-16 11:45
General 5-component Scattering Power Decomposition with Unitary Transformation ○Yoshio Yamaguchi(Niigata Univ.)・Gulab Singh(IITB, India)・Ryu Sugimoto(AIST) SANE2022-80 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Polarimetric synthetic aperture radar (PolSAR) provides us with a full 3x3 coherency matrix that bears 9 real-valued and independent polarimetric parameters of the imaging window. We propose a new decomposition method of the coherency matrix in which 2 consecutive unitary transformations are carried out to null T13 element. The transformation reduces polarimetric parameters from 9 to 7, which is best-fit for 5-component scattering power decomposition. Five scattering powers corresponding to physical scattering models can be retrieved directly. An alternative nulling T23 scheme is also compared using ALOS2-PALSAR2 San Francisco quad pol data set. It is found that final decomposition result is dependent on the choice of nulling element and corresponding expansion matrices even in 100% utilization of polarimetric parameters (7/7). Intuitive color images are obtained from nulling T23 element. These scattering powers can be used to display superb polarimetric RBG images, and are further applicable for polarimetric calibration, classification, and validation, etc. |
キーワード |
(和) |
/ / / / / / / |
(英) |
PolSAR / Coherency matrix / Scattering power decomposition / Unitary transformation / / / / |
文献情報 |
信学技報, vol. 122, no. 312, SANE2022-80, pp. 85-90, 2022年12月. |
資料番号 |
SANE2022-80 |
発行日 |
2022-12-08 (SANE) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SANE2022-80 |
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