Abstract
The basic theory of Markov random fields was presented in Chap. 6. In this chapter, we employ this modeling paradigm for two image processing tasks applicable to remote sensing. The objectives of the two tasks are:
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1.
To investigate the use of Markov random field (MRF) models for image change detection applications
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2.
To develop an image fusion algorithm based on MRF models.
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Kasetkasem, T., Varshney, P.K. (2004). Image Change Detection and Fusion Using MRF Models. In: Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05605-9_13
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DOI: https://doi.org/10.1007/978-3-662-05605-9_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-06001-4
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