A study of changes prediction by HMM with non-stationary image data: Case of urban area - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

A study of changes prediction by HMM with non-stationary image data: Case of urban area

Résumé

In this paper, we propose a methodology for changes prediction in urban area using Hidden Markov Model (HMM). The main focus is to study a non- stationarity data in HMM models. In order to use these data we apply a stationarity processes. We propose to calculate a spatial metrics of in urban area from satellite images. Then, a stationnarisation process was applied to remove the random variations, and to model the variations by using HMM. A comparative study is done. The performance of our method is showed by using a series of Landsat.
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Dates et versions

hal-01219490 , version 1 (22-10-2015)

Identifiants

Citer

Ali Ben Abbes, Houcine Essid, Imed Riadh Farah, Vincent Barra. A study of changes prediction by HMM with non-stationary image data: Case of urban area. ATSIP 2014 : 1st International Conference on Advanced Technologies for Signal & Image Processing, Mar 2014, Sousse, Tunisia. pp.396 - 401, ⟨10.1109/ATSIP.2014.6834643⟩. ⟨hal-01219490⟩
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