Wavelet-based method of removing strip interference from satellite remote sensing image

Fuhua Chen; Yingge Qu; Junyang Lv; Deshen Xia

doi:10.1117/12.452206

21 November 2002 Wavelet-based method of removing strip interference from satellite remote sensing image

Fuhua Chen, Yingge Qu, Junyang Lv, Deshen Xia

Proceedings Volume 4790, Applications of Digital Image Processing XXV; (2002) https://doi.org/10.1117/12.452206
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Affected by time difference, sensor and other unsure factors, there is often strip interfering appeared in bi-directional scanning satellite image. The usual method used to remove strip interfering is filtering in frequency field. According to the number of detecting units in detector, using properties of multi-scale and localization, a proper sub-image corresponding to strip noise is got by wavelet decomposition. By processing the sub-image, ideal result is obtained. As far as removing dragging-part and remaining information are concerned, this method is better than the one based on Fourier transform. Experiments with CBERS-1 images have shown that this method is very effective.

Citation Download Citation

Fuhua Chen, Yingge Qu, Junyang Lv, and Deshen Xia "Wavelet-based method of removing strip interference from satellite remote sensing image", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); https://doi.org/10.1117/12.452206

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