Multitemporal SAR image filtering using 3D adaptive neighborhoods

Mihai Ciuc; Philippe Bolon; Emmanuele Trouve; Herve Trebossen

doi:10.1117/12.413895

19 January 2001 Multitemporal SAR image filtering using 3D adaptive neighborhoods

Mihai Ciuc, Philippe Bolon, Emmanuele Trouve, Herve Trebossen

Proceedings Volume 4170, Image and Signal Processing for Remote Sensing VI; (2001) https://doi.org/10.1117/12.413895
Event: Europto Remote Sensing, 2000, Barcelona, Spain

Abstract

In this paper, we present a new method for multitemporal SAR image filtering using 3D adaptive neighborhoods. The method takes into account both spatial and temporal information to derive the speckle-free value of a pixel. For each pixel individually, a 3D adaptive neighborhood is determined to contain only pixels coming from the same distribution as the current one. Then statistics computed inside the established neighborhood are used to derive the filter output. It is shown that the method provides good results by drastically reducing speckle over homogeneous areas while retaining edges and thin structures. The performances of the proposed method are compared in terms of subjective and objective measures with those given by several classical speckle filtering methods.

Citation Download Citation

Mihai Ciuc, Philippe Bolon, Emmanuele Trouve, and Herve Trebossen "Multitemporal SAR image filtering using 3D adaptive neighborhoods", Proc. SPIE 4170, Image and Signal Processing for Remote Sensing VI, (19 January 2001); https://doi.org/10.1117/12.413895

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