The modeling of remote sensing and astrophysics applications by random Markov fields (MRF) image processing techniques was discussed. The MRF method enabled the construction of an automatic image deconvolution method, within a stochastic framework. The MRF models express global constraints or hypothesis in a local way. They are applied to remote sensing applications such as road network detection, urban area extraction, image classification for precision farming, super resolution and digital elevation map. Their application in astrophysics includes planetary imaging.
ASJC Scopus subject areas
- Physics and Astronomy(all)