A wavelet multiresolution technique for polarimetric texture analysis and segmentation of SAR images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2004, Pages 710-713

  De Grandi, Gianfranco ^a   Hoekman, Dirk ^b   Lee, Jong Sen ^c   Schuler, Dale ^c   Ainsworth, Tom ^c  

^a JOINT RESEARCH CENTRE   (Italy)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Polarimetry; Segmentation; Texture; Wavelet

Indexed keywords

BACKSCATTERING; COMPUTER SIMULATION; DATA REDUCTION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MONTE CARLO METHODS; OPTICAL RESOLVING POWER; POLARIMETERS; POLARIZATION; SENSORS; SET THEORY; TEXTURES; VECTORS; VEGETATION; WAVELET TRANSFORMS;

MULTIPLE DISCRIMINANT ANALYSIS (MDA); POLARIMETRIC TEXTURE ANALYSIS; WAVELET COEFFICIENTS; WAVELET MULTIRESOLUTION TECHNIQUE;

SYNTHETIC APERTURE RADAR;

EID: 15944379237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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6. J-S. Lee, M.R. Grunes, E. Portier, and L. Ferro-Famil, "Unsupervised terrain classification preserving polarimetric scattering characteristics" , IEEE Trans. Geosci. And Remote Sensing, vol. 42, no. 4, pp. 722-731, April 2004.