A novel approach is proposed to adaptive filtering of multi-temporal images. A transformation aimed at decorrelating data is defined on the set of images taken at different times. Adaptive filtering is performed on the new set of data which are then transformed back. Results on ERS-1 multi-temporal SAR images show effectiveness in reducing speckle, while the intrinsic texture, edges and point targets are better preserved than by filtering each observation separately.
Adaptive texture-preserving filtering of multitemporal ERS-1 SAR images / Aiazzi, B; Alparone, L.; Baronti, S.; Carla, R.. - STAMPA. - 4:(1997), pp. 2066-2068. (Intervento presentato al convegno Proceedings of the 1997 IEEE International Geoscience and Remote Sensing Symposium, IGARSS'97. Part 3 (of 4) tenutosi a Singapore, Singapore nel 3 - 8 August 1997) [10.1109/IGARSS.1997.609224].
Adaptive texture-preserving filtering of multitemporal ERS-1 SAR images
ALPARONE, LUCIANO;
1997
Abstract
A novel approach is proposed to adaptive filtering of multi-temporal images. A transformation aimed at decorrelating data is defined on the set of images taken at different times. Adaptive filtering is performed on the new set of data which are then transformed back. Results on ERS-1 multi-temporal SAR images show effectiveness in reducing speckle, while the intrinsic texture, edges and point targets are better preserved than by filtering each observation separately.
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