NDLI: ROEWA based detector for SAR automatic target recognition

Content Provider	IEEE Xplore Digital Library
Author	Ranjani, J.J. Iyalkanimozhi, E. Priyadharshini, D. Thiruvengadam, S.J. Babu, M.
Copyright Year	2008
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Thiagarajar Coll. of Eng., Madurai (Thiruvengadam, S.J.) \|\| Dept. of Mech. Eng., Thiagarajar Coll. of Eng., Madurai (Babu, M.) \|\| Dept. of Inf. Technol., Thiagarajar Coll. of Eng., Madurai (Ranjani, J.J.; Iyalkanimozhi, E.; Priyadharshini, D.)
Abstract	Edge detection is a fundamental issue in automatic target detection using synthetic aperture radar (SAR) images. Edges are associated with intensity changes in the image and are efficient descriptors of the image structure. Due to the presence of speckle, edge detection in SAR images is extremely difficult. Several detectors have been developed for the detection of isolated step edges in speckled images like MRoA and RGoA edge detectors which use predefined thresholds. The modified RGoA detector defines an automatic threshold determining method. But all these edge detectors, apart from detecting the target edges, detect a number of false edges. In this paper we have proposed a new ROEWA based algorithm that automatically discriminates the object boundaries and the false edges. The principle of entropy is introduced in this classification process. Real SAR images are used to verify our method and the results are compared with the modified RGoA and entropy based MRGoA edge detectors. Experimental results show that the proposed method is robust and efficient.
Starting Page	1
Ending Page	5
File Size	3257952
Page Count	5
File Format	PDF
ISBN	9781424435944
DOI	10.1109/ICCCNET.2008.4787730
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target recognition Image edge detection Speckle Entropy Reflectivity SAR Image Automatic Target Recognition Edge Detection Radar detection Detectors Object detection Optical scattering Synthetic aperture radar
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
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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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