Synthetic aperture radar chip level cross-range streak detector
First Claim
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1. A method of using a processor for reducing cross-range streaking in a radar image, the method comprising:
- determining a number of on-pixels in each line of at least a portion of the radar image;
determining which lines have a determined number of on-pixels that exceeds a threshold number; and
removing all of the on-pixels of lines having the determined number of on-pixels exceeding the threshold number.
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Abstract
A method of reducing cross-range streaking in a radar image includes determining a number of on-pixels in each line of at least a portion of the radar image, determining which lines have a determined number of on-pixels that exceeds a threshold number, and removing the on-pixels of lines having the determined number of on-pixels exceeding the threshold number.
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Citations
17 Claims
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1. A method of using a processor for reducing cross-range streaking in a radar image, the method comprising:
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determining a number of on-pixels in each line of at least a portion of the radar image; determining which lines have a determined number of on-pixels that exceeds a threshold number; and removing all of the on-pixels of lines having the determined number of on-pixels exceeding the threshold number. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of using a processor for improving radar image analysis, the method comprising:
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defining regions on a synthetic aperture radar (SAR) image pixel data to be analyzed for cross-range streaking; thresholding a magnitude image pixel data corresponding to the defined regions; forming a bi-level output image pixel data corresponding to the thresholded magnitude image pixel data and comprising on-pixels and off-pixels; forming target pixel clusters comprising one or more of the on-pixels and corresponding to a potential target; determining a number of the on-pixels in each of a plurality of sections of the target pixel clusters; forming a cross-range profile corresponding to the determined number of on-pixels of each section; filtering the cross-range profile; thresholding the cross-range profile by categorizing sections having the determined number of on-pixels above a threshold value as potential problem areas; testing the potential problem areas for at least one of minimum and maximum parameters; and excluding pixels corresponding to the potential problem areas determined to be beyond at least one of the minimum or maximum parameters.
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13. A method of using a processor for automated target detection, the method including comprising:
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downsampling radar data; converting the downsampled radar data to a square-root-of-magnitude format; identifying potential target pixels corresponding to local brightness; clustering the potential target pixels to form regions of interest; thresholding pixels of a radar image corresponding to the regions of interest to determine which ones of the pixels correspond to a target; clustering the thresholded pixels to create a binary cluster; circumscribing the binary cluster; computing length and width features of the binary cluster; generating a joint feature discriminator score corresponding to the computed length and width features; and categorizing a target detection corresponding to the joint feature discriminator score and at least one of an automatic target recognition model and an automatic target recognition template. - View Dependent Claims (14, 15, 16, 17)
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Specification