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GAUSSIAN MIXTURE MODEL AND RJMCMC BASED RS IMAGE SEGMENTATION
For the image segmentation method based on Gaussian Mixture Model (GMM), there are some problems: 1) The number of component was usually a fixed number, i.e., fixed class and 2) GMM is sensitive to image noise. This paper proposed a RS image segmentation method that combining GMM with reversible j...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Copernicus Publications
2017-09-01
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| Serie: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Accesso online: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/647/2017/isprs-archives-XLII-2-W7-647-2017.pdf |
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