Paper
9 June 1994 Target detection with synthetic aperture radar and coherent subtraction
Author Affiliations +
Abstract
This paper considers target detection with SAR and coherent subtraction. We shall show with experimental data that the coherent subtraction technique may be used to suppress outliers and obtain approximate Gaussian distributions for clutter and noise. We shall also derive generalized likelihood ratio (GLR) detection algorithms that may be used with SAR images that are obtained with coherent subtraction. We shall analytically compare the performance of (a) a single pixel detector, (b) a detector using complete knowledge of the target signature information and known orientation information, (c) a detector using incomplete knowledge of the target signature information and known orientation information, (d) a detector using unknown target signature information and known orientation information, and (e) a detector using unknown target signature information and unknown orientation information.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Li and Edmund G. Zelnio "Target detection with synthetic aperture radar and coherent subtraction", Proc. SPIE 2230, Algorithms for Synthetic Aperture Radar Imagery, (9 June 1994); https://doi.org/10.1117/12.177191
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Target detection

Synthetic aperture radar

Sensor performance

Radar

Detection and tracking algorithms

Signal detection

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