NDLI: Numerical study of detection of a buried object under a single random rough surface with angular correlation function

Content Provider	IEEE Xplore Digital Library
Author	Leung Tsang Guifu Zhang Kyung Pak
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA (Leung Tsang; Guifu Zhang; Kyung Pak)
Abstract	The detection of an object buried under a random rough surface has important applications. The bistatic scattering intensity of the rough surface can be comparable to that of the object making it difficult to detect the buried object. The authors study the angular correlation functions (ACF) of scattering. They first study ACF of rough surface scattering. It is shown that a memory line is still exhibited for a single random rough surface of moderate extent based on frequency average. If the incident and scattered angles are away from the memory line of rough surface scattering, then the ACF of rough surface scattering is small. For the problem of buried object under a rough surface, numerical simulations indicate that even when the ratio of scattered intensities with and without the buried object is close to unity, the corresponding ratio of ACF can be 15 dB. Thus, using ACF is superior to using intensities in the detection of buried object.
Starting Page	2143
Ending Page	2145
File Size	211650
Page Count	3
File Format	PDF
ISBN	0780330684
DOI	10.1109/IGARSS.1996.516915
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Buried object detection Object detection Rough surfaces Surface roughness Electromagnetic scattering Frequency Surface waves Numerical simulation Remote sensing Laboratories
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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