NDLI: Ground moving target indication in a SAR image based on background cognition

Content Provider	IEEE Xplore Digital Library
Author	Yuan Li Gaohuan Lv Xingzhao Liu
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Shandong Inst. of Bus. & Technol., Yantai, China (Yuan Li) \|\| Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China (Gaohuan Lv; Xingzhao Liu)
Abstract	Ground moving target indication (GMTI) with synthetic aperture radar (SAR) is a very hot research topic in recent years. The traditional methods are based on multi-antennae technology, such as displaced-phase-center-antenna [1], along-track interferometry [2], and space time adaptive processing [3], and many space-borne or air-borne radars have been developed and put in use. However, the multi-antennae based technology is very complex and costs so much. Many researchers try to perform the tasks by using a single-antenna SAR. For example, J. R. Fienup detects the moving target by using autofocus technology based on shear averaging method [4], J. Dias et al. use the antenna radiation pattern information to indicate the moving targets and estimate their velocities [5], and G. Lv et al. detects and estimates the azimuth velocity component based on the symmetric defocusing method [6]. They can give fairly effective results. However, the mentioned methods exploit the phase difference between the background and moving targets, and the effectiveness will be influenced by clutters and interference. A new GMTI scheme used to detect moving targets with range velocity components is proposed in this paper based on background cognition. The scheme consists of four parts: a normalized background Doppler spectrum set (BDSS), a correlator used to extract the background of a given azimuth vector in a SAR imagery, a normalized moving targets' Doppler spectrum set (MTDSS), and a classifier used to optimally classify the moving targets according to the waveform design algorithms [7]. The output of the classifier are feed back to the correlator to estimate the background further. As a result, the classifier gives more accurate estimations of moving targets. It is a closed-loop procedure. The scheme works well in our recent experiments.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	2019
Ending Page	2022
File Size	13209135
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723206
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Doppler effect Synthetic aperture radar Azimuth Correlators Cognition Radar imaging
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
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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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