NDLI: SAR Image Formation by Pixel Classification (IF-PC)

Content Provider	IEEE Xplore Digital Library
Author	Lam Nguyen
Copyright Year	2011
Description	Author affiliation: U.S. Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA (Lam Nguyen)
Abstract	This paper presents a novel synthetic aperture radar (SAR) image formation technique—SAR Image Formation by Pixel Classification (IF-PC). The technique is integrated with the standard backprojection image formation algorithm to form SAR images with significant reduction in side lobes and noise. The key innovative concept in the IF-PC technique is the formation of many realizations of a SAR image of the same scene from many instances of randomized and reduced apertures. The IF-PC algorithm classifies each pixel in the SAR image into either target class (associated with physical objects) or noise class (noise, sidelobes) based on the statistics of the image pixel from many realizations of the SAR image. The IF-PC technique generates both types of resulting SAR imagery: amplitude and complex images that are almost noise-free. This paper demonstrates the results using both simulation and real radar data from the U.S. Army Research Laboratory's (ARL) low-frequency SAR radar in forward-looking mode.
Starting Page	315
Ending Page	319
File Size	1800497
Page Count	5
File Format	PDF
ISBN	9781424489015
ISSN	10975659
e-ISBN	9781424489022
DOI	10.1109/RADAR.2011.5960550
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Noise Radar imaging Apertures Synthetic aperture radar Classification algorithms
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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