Hybridization of colour information with texture by using mutual information for the classification of satellite images
In this article a construction of hybrid colour space from a set of classic colours spaces by using the algorithm MRMR is proposed. This algorithm is based on the mutual information. Our approach is evaluated on SPOT HRV (XS) image representing two forest areas in the region of Rabat. Feature extraction is done by the coooccurrence matrix. The SVM (Support Vectors Machine) classifier is used.
Summary In the pilot study, a new geomodeling technology is presented for developing 3D heterogonous geomodels for Athabasca McMurray (MCMR) oil sands. The geomodels were used to simulate SAGD thermal recovery. Both conventional SAGD completions and SAGD with ICD completions were tested. The simulation results show that for a heterogeneous Athabasca McMurray oil sand reservoir, the ICD completion technology enhances oil production and reduces steam consumption. As a result, the economics of SAGD recovery from the heterogeneous sands is improved.