A Fundamental Study on Vehicle Detection in Flooded Urban Area Using Quad-Polarimetric SAR Data

Takanori ISHIKURO; Ryoichi SATO; Yoshio YAMAGUCHI; Hiroyoshi YAMADA

doi:10.1587/transele.E102.C.38

A Fundamental Study on Vehicle Detection in Flooded Urban Area Using Quad-Polarimetric SAR Data

Takanori ISHIKURO, Ryoichi SATO, Yoshio YAMAGUCHI, Hiroyoshi YAMADA

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Summary :

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.

Publication: IEICE TRANSACTIONS on Electronics Vol.E102-C No.1 pp.38-45

Publication Date: 2019/01/01

Publicized

Online ISSN: 1745-1353

DOI: 10.1587/transele.E102.C.38

Type of Manuscript: Special Section PAPER (Special Section on Recent Progress in Electromagnetic Theory and Its Application)

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Authors

Takanori ISHIKURO
  Niigata University
Ryoichi SATO
  Niigata University
Yoshio YAMAGUCHI
  Niigata University
Hiroyoshi YAMADA
  Niigata University

Keyword

radar polarimetry, vehicle detection, flooded urban area, disaster mitigation, co-pol ratio phase difference

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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

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@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},}

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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 -