Title :
Adaptive texture-preserving filtering of multitemporal ERS-1 SAR images
Author :
Aiazzi, B. ; Alparone, L. ; Baronti, S. ; Carlà, R.
Author_Institution :
Ist. di Ricerca sulle Onde Elettromagnetiche, CNR, Firenze, Italy
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
Keywords :
adaptive signal processing; geophysical signal processing; geophysical techniques; image sequences; image texture; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; adaptive signal processing; decorrelation; edge detection; geophysical measurement technique; image sequence; land surface; multitemporal ERS-1 SAR image; point target; radar imaging; radar remote sensing; spaceborne radar; speckle reduction; synthetic aperture radar; terrain mapping; texture-preserving filtering; transformation; Adaptive filters; Decorrelation; Electronic mail; Facsimile; Filtering; Radar scattering; Signal to noise ratio; Speckle; Statistics; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.609224
