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. |
REVIEW OF METHODS Linear Unmixing: With K spectral bands and M classes (C1,..,CM), each pixel has an associated K-dimensional pixel vector
where,
which is used to project
After maximizing the SNR, an optimal estimate of
Note that Bayesian classifier: Associated with any pixel, there is an observation
In (6), since
|
*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). |