Uttam Kumar | S. Kumar Raja | C. Mukhopadhyay | T. V. Ramachandra* |
Citation: Uttam Kumar, S. Kumar Raja, C. Mukhopadhyay and T. V. Ramachandra , 2011, Hybrid Bayesian Classifier for Improved Classification Accuracy. IEEE Geoscience and Remote Sensing letters, Vol. 8, No. 3, pp. 473 – 476. |
NEW HYBRID BAYESIAN CLASSIFIER (HBC) HBC uses the abundance of each class obtained from LS-HSR data by linear unmixing as prior probability while classifying the HS-LSR data using Bayesian classifier of the same geographical area and time frame. That is, given the observation vector |
*T. V. Ramachandra, Senior Member, IEEE, is with the Centre for Ecological Sciences, Centre for Sustainable Technologies and Centre for Infrastructure, Sustainable Transport and Urban Planning, Indian Institute of Science (IISc), Bangalore, India. Uttam Kumar, Student Member, IEEE, is with the Department of Management Studies and Centre for Sustainable Technologies, Indian Institute of Science, India. (e-mail: uttam@ces.iisc.ernet.in). Chiranjit Mukhopadhyay is with the Department of Management Studies, Indian Institute of Science, Bangalore, India (e-mail: cm@mgmt.iisc.ernet.in). S. Kumar Raja is with the VISTA Group, IRISA, Rennes, France and Thomson R&D France, SNC Cesson - Sévigné, France (email: s.kumar.raja@yahoo.com). |