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This paper evaluates performance of fully polarimetric SAR (PolSAR) data in several land cover mapping studies in the boreal forest environment, taking advantage of the high canopy penetration capability at L-band. The studies included multiclass land cover mapping, forest–nonforest delineation, and classification of soil type under vegetation. PolSAR data used in the study were collected by the ALOS...
We model the temporal decorrelation in volumetric media imaged by a repeat-pass SAR interferometer by using a temporal correlation function that varies with depth. An expression of this function is proposed and based on the Brownian motion of the canopy and soil elements. The spatial and temporal correlation terms are merged in a single coherence model that includes a large class of decorrelation...
In this paper the potentiality of polarimetric P-band SAR data for Amazon tropical forest land cover mapping is assessed. The classifying approach is based on the Iterative Conditional Mode (ICM) algorithm, taking into account several specific distributions to SAR data. Distinct land cover classes are modeled considering different distributions. The results show that the P-band data is not capable...
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