http://www.iisc.ernet.in/
A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels
 http://wgbis.ces.iisc.ernet.in/energy/
Uttam Kumar 1,2,3            S. Kumar Raja 4            Chiranjit Mukhopadhyay 3            T.V. Ramachandra 1,2,*
1 Energy and Wetlands Research Group, Centre for Ecological Sciences [CES], 2 Centre for Sustainable Technologies (astra)
3 Department of Management Studies, Indian Institute of Science, Bangalore – 560012, India.
4 Institut de Recherche en Informatique et Systèmes Aléatoires, 35042 Rennes cedex-France & Technicolor Research & Innovation, Cesson Sévigné, France
*Corresponding author: cestvr@ces.iisc.ernet.in

ACKNOWLEDGMENTS

We thank the NRDMS Division, the Ministry of Science and Technology (DST), Government of India and Indian Institute of Science for their financial and infrastructure support. Land Processes Distributed Active Archive Center (LP DAAC) and National Remote Sensing Centre (NRSC), Hyderabad, India are acknowledged for providing the MODIS and IRS LISS-III data, respectively.

 

 

BACK  «  TOP  »  NEXT
Citation : Uttam Kumar, S. Kumar Raja, Chiranjit Mukhopadhyay and T.V. Ramachandra, 2012. A Neural Network Based Hybrid Mixture Model to Extract Information from Non-linear Mixed Pixels., Information 2012, 3(3), 420-441; doi:10.3390/info3030420.
* Corresponding Author :
  Dr. T.V. Ramachandra
Energy & Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore – 560 012, India.
Tel : 91-80-23600985 / 22932506 / 22933099,      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
E-mail    |    Sahyadri    |    ENVIS    |    GRASS    |    Energy    |      CES      |      CST      |    CiSTUP    |      IISc      |    E-mail