Unsupervised multispectral image ClassificationBy fuzzy hidden Markov chains model For SPOTHRV Images

International Journal of Image Processing

Ahmed HAMMOUCH¹  Faiza DAKKA¹  Driss ABOUTAJDINE¹ 

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关键词: Bayesian Image Classification;    Markov Chains;    Fuzzy Hidden Markov;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

This paper deals with unsupervised classification of multi-spectral images, we propose to use a new vectorial fuzzy version of Hidden Markov Chains (HMC).The main characteristic of the proposed model is to allow the coexistence of crisp pixels (obtained with the uncertainty measure of the model) and fuzzy pixels (obtained with the fuzzy measure of the model) in the same image. Crisp and fuzzy multi-dimensional densities can then be estimated in the classification process, according to the assumption considered to model the statistical links between the layers of the multi-band image. The efficiency of the proposed method is illustrated with a Synthetic and real SPOTHRV images in the region of Rabat. The comparisons of two methods: fuzzy HMC and HMC are also provided. The classification results show the interest of the fuzzy HMC method.

【 授权许可】

Unknown