Continuous Change Detection and Classification Using Hidden Markov Model: A Case Study for Monitoring Urban Encroachment onto Farmland in Beijing

Continuous Change Detection and Classification Using Hidden Markov Model: A Case Study for Monitoring Urban Encroachment onto Farmland in Beijing

In this paper, we propose a novel method to continuously monitor land cover change using satellite image time series, which can extract comprehensive change information including change time, location, and “from-to” information. This method is based on a hidden Markov model (HMM) trained for each la...

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Bibliographic Details
Main Authors: Yuan Yuan, Yu Meng, Lei Lin, Hichem Sahli, Anzhi Yue, Jingbo Chen, Zhongming Zhao, Yunlong Kong, Dongxu He
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:Remote Sensing
Subjects:
classification
change detection
hidden semi-Markov model (HSMM)
satellite image time series
urban encroachment onto farmland
Online Access:http://www.mdpi.com/2072-4292/7/11/15318

Internet

http://www.mdpi.com/2072-4292/7/11/15318

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