Title :
Extraction of information and speckle noise reduction in SAR images using the wavelet transform
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
This paper presents a method for extracting information from SAR images using the wavelet transform. It is shown experimentally that the shape of the wavelet can be chosen in order to extract different features in the image. Then a new method based on the wavelet transform is used to reduce speckle noise in model SAR image. The result is compared with the more traditional wavelet shrinking method
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; wavelet transforms; SAR image; feature extraction; geophysical measurement technique; image processing; information extraction; land surface; radar imaging; radar remote sensing; spaceborne radar; speckle noise reduction; synthetic aperture radar; terrain mapping; wavelet transform; Data mining; Feature extraction; Image analysis; Layout; Noise reduction; Noise shaping; Shape; Speckle; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702761
