Satellite image destriping: a wavelet-based approach

Jorge Torres; Jesus Favela

doi:10.1117/12.279710

31 October 1997 Satellite image destriping: a wavelet-based approach

Jorge Torres, Jesus Favela

Proceedings Volume 3170, Image Reconstruction and Restoration II; (1997) https://doi.org/10.1117/12.279710
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Scanning-radiometer imagery commonly displays systematic line stripes originated by differences in the sensibility of individual detectors. Traditionally, this noise has been eliminated by convolution techniques using digital filters. In this work we propose the sue of the wavelet transform as a technique for directional filtering. The method was tested in a Landsat multispectral scanner image having severe band striping. Since its basis functions are localized in the frequency and time domain, the wavelet transform performed a more selective analysis of the data, identifying the noise patterns in the image and allowing their remotion without data degradation.

Citation Download Citation

Jorge Torres and Jesus Favela "Satellite image destriping: a wavelet-based approach", Proc. SPIE 3170, Image Reconstruction and Restoration II, (31 October 1997); https://doi.org/10.1117/12.279710

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