The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam makalah ini, kami mencadangkan algoritma mudah untuk mengesan kenderaan yang terperangkap di kawasan bandar yang dilanda banjir dengan menggunakan data SAR quad-polarometrik. Penguraian kuasa serakan empat komponen dan perbezaan fasa nisbah ko-pol HH-VV digunakan dengan berkesan dalam algoritma yang dicadangkan. Di sini kami menjalankan pengukuran taburan polarimetrik untuk model kenderaan berskala yang dikelilingi oleh dua model bangunan dalam ruang anechoic, untuk memperoleh data SAR quad-polarometrik. Ia disahkan daripada hasil analisis imej untuk data SAR yang diukur bahawa algoritma yang dicadangkan untuk pengesanan kenderaan berfungsi dengan baik walaupun dalam persekitaran yang teruk di mana kenderaan diletakkan dalam bayang-bayang bangunan dan/atau penjajaran kenderaan atau bangunan. berorientasikan serong ke arah garis penglihatan radar.
Takanori ISHIKURO
Niigata University
Ryoichi SATO
Niigata University
Yoshio YAMAGUCHI
Niigata University
Hiroyoshi YAMADA
Niigata University
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Salinan
Takanori ISHIKURO, Ryoichi SATO, Yoshio YAMAGUCHI, Hiroyoshi YAMADA, "A Fundamental Study on Vehicle Detection in Flooded Urban Area Using Quad-Polarimetric SAR Data" in IEICE TRANSACTIONS on Electronics,
vol. E102-C, no. 1, pp. 38-45, January 2019, doi: 10.1587/transele.E102.C.38.
Abstract: In this paper, we propose a simple algorithm for detecting a vehicle trapped in flooded urban area by using quad-polarimetric SAR data. The four-component scattering power decomposition and phase difference of HH-VV co-pol ratio are effectively used in the proposed algorithm. Here we carry out polarimetric scattering measurement for a scaled vehicle model surrounded by two buildings model in an anechoic chamber, to acquire the quad-polarimetric SAR data. It is confirmed from the results of the image analysis for the measured SAR data that the proposed algorithm for vehicle detection works well even under severe environment where the vehicle is set in the shadow of the building and/or the alignment of the vehicle or the buildings is obliquely oriented to direction of the radar line of sight.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E102.C.38/_p
Salinan
@ARTICLE{e102-c_1_38,
author={Takanori ISHIKURO, Ryoichi SATO, Yoshio YAMAGUCHI, Hiroyoshi YAMADA, },
journal={IEICE TRANSACTIONS on Electronics},
title={A Fundamental Study on Vehicle Detection in Flooded Urban Area Using Quad-Polarimetric SAR Data},
year={2019},
volume={E102-C},
number={1},
pages={38-45},
abstract={In this paper, we propose a simple algorithm for detecting a vehicle trapped in flooded urban area by using quad-polarimetric SAR data. The four-component scattering power decomposition and phase difference of HH-VV co-pol ratio are effectively used in the proposed algorithm. Here we carry out polarimetric scattering measurement for a scaled vehicle model surrounded by two buildings model in an anechoic chamber, to acquire the quad-polarimetric SAR data. It is confirmed from the results of the image analysis for the measured SAR data that the proposed algorithm for vehicle detection works well even under severe environment where the vehicle is set in the shadow of the building and/or the alignment of the vehicle or the buildings is obliquely oriented to direction of the radar line of sight.},
keywords={},
doi={10.1587/transele.E102.C.38},
ISSN={1745-1353},
month={January},}
Salinan
TY - JOUR
TI - A Fundamental Study on Vehicle Detection in Flooded Urban Area Using Quad-Polarimetric SAR Data
T2 - IEICE TRANSACTIONS on Electronics
SP - 38
EP - 45
AU - Takanori ISHIKURO
AU - Ryoichi SATO
AU - Yoshio YAMAGUCHI
AU - Hiroyoshi YAMADA
PY - 2019
DO - 10.1587/transele.E102.C.38
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E102-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2019
AB - In this paper, we propose a simple algorithm for detecting a vehicle trapped in flooded urban area by using quad-polarimetric SAR data. The four-component scattering power decomposition and phase difference of HH-VV co-pol ratio are effectively used in the proposed algorithm. Here we carry out polarimetric scattering measurement for a scaled vehicle model surrounded by two buildings model in an anechoic chamber, to acquire the quad-polarimetric SAR data. It is confirmed from the results of the image analysis for the measured SAR data that the proposed algorithm for vehicle detection works well even under severe environment where the vehicle is set in the shadow of the building and/or the alignment of the vehicle or the buildings is obliquely oriented to direction of the radar line of sight.
ER -