DocumentCode
2111322
Title
Remote sensing of buried objects: an analysis using FD-TD simulation
Author
Tjuatja, Saibun ; Pung, A.K. ; Wu, Shr Hua ; Zhou, Ping ; Li, Zhi Jian
Author_Institution
Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
Volume
3
fYear
1997
fDate
3-8 Aug 1997
Firstpage
1144
Abstract
A numerical modeling algorithm is developed and used to compute the scattering from objects buried under an irregular ground surface. The algorithm integrates object scattering with scattering from a rough surface above these objects. The algorithm will support two modes of operation: (a) return signal strength as a function of system, geometry, ground and object parameters and (b) angle and frequency diverse image as a function of system, geometry, ground and object parameters. The technique to be used for this effort will be a combination of the standard finite difference time domain (FD-TD) method, a randomly rough surface generation routine and an image generation routine developed at the University of Texas at Arlington (UTA). Such an algorithm should be useful for predicting the return signal as a function of the radar system parameters and the ground condition. It also offers the potential to find an optimum choice of system and geometric parameters for detecting buried objects under a given situation
Keywords
electromagnetic wave scattering; finite difference time-domain analysis; geophysical techniques; radar cross-sections; radar detection; radar theory; remote sensing by radar; terrestrial electricity; FD-TD simulation; algorithm; buried object detection; finite difference time domain method; geoelectric method; geophysical measurement technique; ground penetrating radar; irregular ground surface; land surface; numerical model; radar remote sensing; radar scattering; rough surface; subsurface structure; terrain mapping; terrestrial electricity; Buried object detection; Frequency diversity; Geometry; Ground support; Numerical models; Radar scattering; Remote sensing; Rough surfaces; Standards development; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.606378
Filename
606378
Link To Document