Gibbs Random Fields, Cooccurrences, and Texture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Remote Sensing, Third Edition: Models and Methods for Image Processing
Remote Sensing, Third Edition: Models and Methods for Image Processing
Markov Random Field Modeling in Image Analysis
Markov Random Field Modeling in Image Analysis
A study of cloud classification with neural networks using spectral and textural features
IEEE Transactions on Neural Networks
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In this paper we present a cloud detection algorithm exploiting both the spatial and the temporal correlation of cloudy images. A region matching technique for cloud motion estimation is embodied into a MAP-MRF framework through a penalty term. We test our proposal both on simulated data and on real images acquired by MSG satellite sensors (SEVIRI) in the VIS 0.8 band. Comparisons with classical MRF based algorithms show our approach to achieve better results in terms of misclassification probability and, in particular, to be very effective in detecting cloud edges.