DocumentCode :
3066285
Title :
Hierarchical filtering of SAR images
Author :
Saggi, Meeta ; Boucher, Jean-Marc ; Bénié, Goze
Author_Institution :
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
Volume :
2
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
898
Abstract :
In speckled radar images, filtering must achieve a tradeoff between smoothing of textural areas and edge preservation. Multiscale analysis splits up the image information content, such as edges and texture, according to a scale factor by successive lowpass and highpass filterings followed by downsampling. The speckle noise is present on each downsampled image. As proven by the wavelet theory, the initial image can be built again from these images without loss of information. This algorithm deals with a hierarchical weighted building procedure combined to a thresholding applied on high-frequency images
Keywords :
adaptive filters; digital filters; geophysical signal processing; geophysical techniques; radar applications; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; SAR image; downsampling; edge preservation; geophysical measurememt technique; hierarchical filtering; highpass filtering; image filtering; image texture; land surface; lowpass; multiscale analysis; radar imaging; satellite remote sensing; spaceborne radar; speckle; speckled radar image; terrain mapping; thresholding; Additive noise; Frequency; Image analysis; Image reconstruction; Image texture analysis; Information analysis; Information filtering; Information filters; Low pass filters; Radar imaging; Smoothing methods; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
Type :
conf
DOI :
10.1109/IGARSS.1995.521090
Filename :
521090
Link To Document :
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