Multiscale algorithms for joint detection and compression in SAR imagery

John D. Gorman; Rajesh Sharma

doi:10.1117/12.321837

15 September 1998 Multiscale algorithms for joint detection and compression in SAR imagery

John D. Gorman, Rajesh Sharma

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321837
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

We present a novel content-adaptive multiresolution SAR image formation processing algorithm that incorporates dynamic, on-line detection algorithms into the image formation process. The idea is to vary image resolution locally depending on scene content, focusing the SAR imagery to fine resolution only in regions where the scene reflectivity varies rapidly, while forming the rest of the image at coarser resolution or with reduced fidelity. Our `decision-directed' SAR image formation algorithm may have applications in systems where on-board processing or datalink constraints limits the area coverage rates or resolution. We present examples of this multiresolution SAR processing on SAR imagery and show that compression rates on the order of 70:1 or more (i.e., 0.45 bits/pixel starting from 32 bits/complex sample, 16 bits/I, 16 bits/Q), can be obtained while still preserving coherent target signatures and with minor degradation in perceptual image quality.

Citation Download Citation

John D. Gorman and Rajesh Sharma "Multiscale algorithms for joint detection and compression in SAR imagery", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321837

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