Simulation of low-resolution SAR image products

Douglas G. Corr; Peter J. Bird; Noel Robertson; Matthew Stuttard

doi:10.1117/12.295593

22 December 1997 Simulation of low-resolution SAR image products

Douglas G. Corr, Peter J. Bird, Noel Robertson, Matthew Stuttard

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295593
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

This paper describes how low resolution SAR image products with a high number of looks can be simulated from calibrated amplitude SAR imagery. The simulation method reduces the resolution of the input imagery by smoothing, however the resulting product has a higher number of looks than is required, so the speckle noise has to be increased. This is achieved y using gamma distributed noise.the smoothing process is also normalized to preserve the calibration of the original imagery. Examples of simulated products and validation result for the products are also presented.

Citation Download Citation

Douglas G. Corr, Peter J. Bird, Noel Robertson, and Matthew Stuttard "Simulation of low-resolution SAR image products", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295593

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