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Random Forest Algorithm with derived Geographical Layers for Improved Classification of Remote Sensing Data
 http://wgbis.ces.iisc.ernet.in/energy/
Uttam Kumar1,2,3          Anindita Dasgupta1          Chiranjit Mukhopadhyay2           T.V. Ramachandra1,3,4,*
1Energy and Wetlands Research Group, Centre for Ecological Sciences [CES], 2Department of Management Studies, 3Centre for Sustainable Technologies (astra),
4Centre for infrastructure, Sustainable Transportation and Urban Planning [CiSTUP], Indian Institute of Science, Bangalore – 560012, India.
*Corresponding author: cestvr@ces.iisc.ernet.in

ACKNOWLEDGEMENT

This project was sponsored by Department of Science and Technology and Ministry of Environment and Forests (MoEF), Government of India, New Delhi, India. We are grateful to Global Land Cover Facility, USA for providing the Landsat imagery. We thank Indian Institute of Science, Bangalore for the financial assistance and infrastructure support.

 

 

 

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Citation : Uttam Kumar, Anindita Dasgupta, Chiranjit Mukhopadhyay and Ramachandra. T.V., 2011, Random Forest Algorithm with derived Geographical Layers for Improved Classification of Remote Sensing Data., Proceedings of the INDICON 2011, Engineering Sustainable Solutions, 16-18th December, Hyderabad - India, pp. 1-6.
* Corresponding Author :
Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, India.
Tel : +91-80-2293 3099/2293 3503-extn 107,      Fax : 91-80-23601428 / 23600085 / 23600683 [CES-TVR]
E-mail : cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in,     Web : http://wgbis.ces.iisc.ernet.in/energy, http://ces.iisc.ernet.in/grass
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