Name
Title | ||
|---|---|---|
Polarimetric feature evaluation for stricken man-made object detection using FDTD polarimetric scattering analysis |
Abstract | ||
|---|---|---|
This paper investigates polarimetric scattering characteristics for accurately detecting stricken man-made objects. In order to understand the polarimetric scattering features generated from various damaged man-made buildings, we carry out the Finite-Difference Time-Domain (FDTD) polarimetric scattering analysis for deformed and/or collapsed man-made target models. The dependency of the polarimetric scattering feature on the variation of squint angle is in detail investigated. It is confirmed from the estimation based on various polarimetric analyses that the double-bounce scattering, the co-pol correlation coefficient in LR circular porlarization basis, and its normalized one are useful markers for stricken man-made objects detection/identification. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6723286 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
buildings (structures),feature extraction,finite difference time-domain analysis,geophysical techniques,object detection,polarisation,radar detection,radar polarimetry,synthetic aperture radar,FDTD polarimetric scattering analysis,LR circular porlarization,PolSAR,co-pol correlation coefficient,collapsed man-made target models,damaged man-made buildings,deformed man-made target models,double-bounce scattering,finite-difference time-domain polarimetric scattering analysis,polarimetric feature evaluation,polarimetric scattering characteristics,polarimetric scattering features,polarimetric synthetic aperture radar,squint angle variation,stricken man-made object detection,stricken man-made object identification,FDTD analysis,polarimetric synthetic aperture radar (PolSAR),radar polarimetry,stricken man-made object detection | Computer science,Synthetic aperture radar,Remote sensing,Polarization (waves),Finite-difference time-domain method,Scattering,Artificial intelligence,Correlation coefficient,Computer vision,Object detection,Polarimetry,Optics,Feature extraction | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4799-1114-1 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryoichi Sato | 1 | 59 | 13.46 |
| Yoshio Yamaguchi | 2 | 246 | 49.57 |
| Hiroyoshi Yamada | 3 | 161 | 36.65 |
| Sang-Eun Park | 4 | 201 | 24.33 |