Local residue coupling strategies by neural network for InSAR phase unwrapping

Alberto Refice; Giuseppe Satalino; Maria Teresa Chiaradia

doi:10.1117/12.295601

22 December 1997 Local residue coupling strategies by neural network for InSAR phase unwrapping

Alberto Refice, Giuseppe Satalino, Maria Teresa Chiaradia

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295601
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

Phase unwrapping is one of the toughest problems in interferometric SAR processing. The main difficulties arise from the presence of point-like error sources, called residues, which occur mainly in close couples due to phase noise. We present an assessment of a local approach to the resolution of these problems by means of a neural network. Using a multi-layer perceptron, trained with the back- propagation scheme on a series of simulated phase images, fashion the best pairing strategies for close residue couples. Results show that god efficiencies and accuracies can have been obtained, provided a sufficient number of training examples are supplied. Results show that good efficiencies and accuracies can be obtained, provided a sufficient number of training examples are supplied. The technique is tested also on real SAR ERS-1/2 tandem interferometric images of the Matera test site, showing a good reduction of the residue density. The better results obtained by use of the neural network as far as local criteria are adopted appear justified given the probabilistic nature of the noise process on SAR interferometric phase fields and allows to outline a specifically tailored implementation of the neural network approach as a very fast pre-processing step intended to decrease the residue density and give sufficiently clean images to be processed further by more conventional techniques.

Citation Download Citation

Alberto Refice, Giuseppe Satalino, and Maria Teresa Chiaradia "Local residue coupling strategies by neural network for InSAR phase unwrapping", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295601

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