講演抄録/キーワード |
講演名 |
2022-12-16 13:15
Scattering power decomposition of dual-polarization SAR data: application to deforestation detection in tropical rainforests ○Ryu Sugimoto・Ryosuke Nakamura・Chiaki Tsutsumi(AIST)・Yoshio Yamaguchi(Niigata Univ.) SANE2022-81 |
抄録 |
(和) |
Polarimetric SAR (POLSAR) data acquired in a quad-polarization mode preserve the dielectric properties and structures of the scatterer, and those analyses consequently offer superior target recognition compared with dual-polarization data. However, the acquisition of POLSAR data by Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) is limited and not enough for monitoring. In this study, we extend the scattering power decomposition method for the POLSAR data to the dual-polarization data, which are acquired more frequently than POLSAR data. In the proposed method, the covariance matrix by dual-polarization data is decomposed into three scattering powers considering the radar scattering scenario of tropical forests, i.e., ground scattering, volume scattering, and helix scattering power. When the proposed method is applied to detect deforestation at Amazon using changes in volume scattering power, it yields a comparable performance to that obtained using POLSAR data. |
(英) |
Polarimetric SAR (POLSAR) data acquired in a quad-polarization mode preserve the dielectric properties and structures of the scatterer, and those analyses consequently offer superior target recognition compared with dual-polarization data. However, the acquisition of POLSAR data by Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) is limited and not enough for monitoring. In this study, we extend the scattering power decomposition method for the POLSAR data to the dual-polarization data, which are acquired more frequently than POLSAR data. In the proposed method, the covariance matrix by dual-polarization data is decomposed into three scattering powers considering the radar scattering scenario of tropical forests, i.e., ground scattering, volume scattering, and helix scattering power. When the proposed method is applied to detect deforestation at Amazon using changes in volume scattering power, it yields a comparable performance to that obtained using POLSAR data. |
キーワード |
(和) |
Scattering power decomposition / Dual polarization / Tropical rainforests / Deforestation detection / PALSAR-2 / / / |
(英) |
Scattering power decomposition / Dual polarization / Tropical rainforests / Deforestation detection / PALSAR-2 / / / |
文献情報 |
信学技報, vol. 122, no. 312, SANE2022-81, pp. 91-94, 2022年12月. |
資料番号 |
SANE2022-81 |
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 |
SANE2022-81 |
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