NDLI: Maximum entropy regularization in inverse synthetic aperture radar imagery

Content Provider	IEEE Xplore Digital Library
Author	Borden, B.
Copyright Year	1991
Abstract	The method of maximum entropy is applied to the regularization of inverse synthetic aperture radar (ISAR) image reconstructions. This is accomplished by considering an ensemble of images with associated 'allowed' probability density functions. Instead of directly considering the 'solution' to be an image, the author takes it to be the a posteriori probability density found by minimizing a regularization functional composed of the usual 'least squares' term and a Kullback (cross-entropy) information difference term. The desired image is then found as the expectation of this density. The basic model of this approach is similar to that used in usual maximum a posteriori analysis and allows for a more general relationship between the image and its 'configuration entropy' than is usually employed. In addition, it eliminates the need for inappropriate nonnegativity constraints on the (generally complex-valued) image.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	969
Ending Page	973
Page Count	5
File Size	379928
File Format	PDF
ISSN	1053587X
Volume Number	40
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Inverse synthetic aperture radar Neural networks Radar scattering Position measurement Time measurement Extraterrestrial measurements Null space Distributed processing Satellite broadcasting
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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