Title :
A joint classification technique based on multivariate annealing segmentation and "H/A/α_" decomposition for fully polarimetric SAR images of suburban areas
Author :
Lombardo, P. ; Pellizzeri, T. Macrì ; Tomasuolo, A.
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
A joint classification technique is proposed for fully polarimetric SAR images of suburban areas. The technique is based on the joint use of H/A/α_ decomposition and multivariate annealing segmentation. This allows one to exploit the information available in the noisy estimate of the anisotropy parameter, retaining the highest possible spatial resolution. This is obtained by jointly processing the anisotropy with entropy and α_ angle, so that it is regularized by their more stable values. The application of the proposed technique to a AIRSAR image of suburban areas shows its practical effectiveness
Keywords :
image classification; image segmentation; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; H/A/α decomposition; L-band AIRSAR image; anisotropy parameter; joint classification technique; multivariate annealing segme fitation; multivariate annealing segmentation; polarimetric SAR images; suburban areas; Anisotropic magnetoresistance; Annealing; Degradation; Eigenvalues and eigenfunctions; Entropy; Image segmentation; Parameter estimation; Reflection; Scattering; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978207