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- W3145507480 abstract "In consideration of the visual system's tremendous ability to perceive and identify the information,a new image segmentation method is presented which simulates the mechanism of visual system for the high resolution remote sensing image segmentation with Markov random field model.Firstly,the characteristics of the visual system have been summarized as:hierarchy,learning ability,feature detection capability and sparse coding property.Secondly,the working mechanism of visual system is simulated by wavelet transform,unsupervised clustering algorithm,feature analysis and Laplace distribution.Then,the segmentation is achieved by the visual mechanism and the Markov random field.Different satellites remote sensing images are adopted as the experimental data,and the segmentation results demonstrate that the proposed method has good performance in high resolution remote sensing images." @default.
- W3145507480 created "2021-04-13" @default.
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- W3145507480 date "2015-01-01" @default.
- W3145507480 modified "2023-09-28" @default.
- W3145507480 title "A Methodology of Image Segmentation for High Resolution Remote Sensing Image Based on Visual System and Markov Random Field" @default.
- W3145507480 hasPublicationYear "2015" @default.
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