PROCESSING SYNTHETIC APERTURE RADAR IMAGES FOR SHIP DETECTION
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United States of America Patent
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Jan 19, 2017
app pub date -
Jul 17, 2015
filing date -
Jul 17, 2015
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Abstract
Systems and methods relating to SAR image processing and object detection within a SAR image. A sea clutter model in which the texture random variable is drawn from a finite and discrete set of values is used in the processing of SAR derived images. SAR images are divided into sub-images, each sub-image being processed in turn. A statistical test is applied to each sub-image to determine whether it contains pixels representing only non-clutter information. The statistical test is based on the sea-clutter model, parameters of which are derived and adapted from each sub-image. The model is designed such that it will not permit more than a pre-determined number of false alarms. Pixels in each sub-image with information other than clutter are clustered, according to proximity, into object detections. Detections from all sub-images are combined to provide global object detection and to group clusters that may have split across sub-image boundaries.
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