Study about classificafion of multi-spectral remote sensing

This paper presents the analog 7 between voice recognition and multi-spectral remote sensing image classification, and introduces the Hidden Markov Model (MO, which is a successful approach on voice recognition fields, into multi-spectral remote sensing image classification. After comparing the HMM with other conventional classification methods such as maximum Likelihood and Minimum Distance, the paper concludes that the HMM is a better approach than other techniques do. At the end of the paper, the author explains the reason of HMM's good performance, and also points out its defect.