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Based on high-resolution remote sensing images and the eCognition Developer platform, the research described in this paper makes full use of the rich spectral, spatial, textural and feature geometry information contained in high-resolution images acquired from Quickbird. The object-oriented, multiscale segmentation method as well as the nearest neighborhood and membership function classification methods...
Conditional random field (CRF) has been widely used in optical image and remote sensing image segmentation because of the advantage of directly modeling the posterior distribution and capturing arbitrary dependencies among observations. However, for nonstationary SAR images, applications of CRF often fail because of their nonstationary property. The triplet Markov field (TMF) model is well appropriate...
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