Flexible Hierarchical Gaussian Mixture Model for High-Resolution Remote Sensing Image Segmentation

The Gaussian mixture model (GMM) plays an important role in image segmentation, but the difficulty of GMM for modeling asymmetric, heavy-tailed, or multimodal distributions of pixel intensities significantly limits its application. One effective way to improve the segmentation accuracy is to accurat...

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Detalles Bibliográficos

Principais autores:	Xue Shi, Yu Li, Quanhua Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2020-04-01
Series:	Remote Sensing
Assuntos:	high-resolution remote sensing image segmentation Bayesian theorem Gaussian mixture model (GMM) hierarchical Gaussian mixture model (HGMM) birth or death Markov chain Monte Carlo (BDMCMC)
Acceso en liña:	https://www.mdpi.com/2072-4292/12/7/1219
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