Hierarchical artificial immune system for crop stage classification

Proceedings - 2011 Annual IEEE India Conference: Engineering Sustainable Solutions, INDICON-2011

Volumn , Issue , 2011, Pages

  Senthilnath, J ^a   Omkar, S N ^a   Mani, V ^a   Karnwal, Nitin ^b  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Crop Stage classification; Hierarchical Artificial Immune System; Principal Component Analysis

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; ARTIFICIAL IMMUNE SYSTEM ALGORITHMS; AUTOMATED IMAGE ANALYSIS; CLASSIFICATION RESULTS; CLUSTER CENTERS; HIERARCHICAL ARTIFICIAL IMMUNE SYSTEM; HIERARCHICAL CLUSTERING ALGORITHMS; HIGH DIMENSIONALITY; HYPERSPECTRAL SATELLITE; IMAGING SATELLITES; K-MEANS; PRINCIPAL COMPONENTS; UNSUPERVISED ALGORITHMS;

ALGORITHMS; CROPS; REMOTE SENSING; SATELLITE IMAGERY;

IMMUNOLOGY;

EID: 84857215474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INDCON.2011.6139339     Document Type: Conference Paper

References (17)

1. David Landgrebe, "Hyperspectral Image Data Analysis as a High Dimensional Signal Processing Problem", IEEE Signal Processing Magazine, Vol. 19,No.1, pp.17-28,January 2002.
2. Mohammad S. Alam, Mohammed Nazrul Islam, Abdullah Bal &Mohammad A. Karim, Hyperspectral target detection using Gaussian filter and post processing, Optics and Lasers in Engineering, Vol. 46, No. 11, pp. 817-822, Nov 2008
3. Amar Kachenoura, Laurent Albera, Lotfi Senhadji & Pierre Comon, ICA : a potential tool for BCI systems, IEEE Signal Processing Magazine 2008, Vol. 25, No . 1, pp. 57-68, 2008
4. E Ben-Dor, K Patkin, ABanin & AKarnieli, Mapping of several soil properties using DAIS-7915 Hyperspectral scanner data - a case study over clayey soils in Israel, International Journal of Remote Sensing, Vol. 23, No. 6, pp 1043-1062, 2002 (Pubitemid 34244118)
5. Paul C. Doraiswamy, Alan J. Stern & Bakhyt Akhmedov, Crop Classification in the U.S. Corn Belt Using MODIS imagery, in the proceeding of International Geoscience and Remote Sensing Symposium, July 19-27, 2007, Barcelona, Spain.
6. Abdulhamit Subasi & Ergun Ercelebi, "Classification of EEG signals using Neural Networks and logistic regression", Computer methods and Programs in Bio-medicine, Vol. 78, Issue 2, pp. 87-99, May 2005
7. Suman Mukherjee,"Crop Stage Classification of Hyperspectral Data Using Red Edge Wavelength Pursuit", in the proceeding of XXVIII INCA International Congress on Collaborative Mapping and Space Technology, November 2008, Ahmedabad
8. Sunghyun Lim, Kwang Hoon Sohn & Chulhee Lee, "Principal Component Analysis for compression of Hyperspectral Images", Geoscience & Remote Sensing symposium, 2001, IGARSS01, Vol.1, pp. 97-99, July 2001.
9. D. Lu & Q. Weng,"A survey of image classification methods and techniques for improving classification performance", International Journal of Remote Sensing, Vol. 28, No. 5, pp. 823-827,2007
10. Goel, P.K., Prasher, S. O., Patel, R. M., Landry, J. M., Bonnell, R. B. and Viau, A. A.,2003, "Classification of Hyperspectral Data by Decision Trees and Artificial Neural Networks to Identify Weed Stress and Nitrogen Status of Corn," Computers and Electronics in Agriculture, 39, 67-93. (Pubitemid 36530841)
11. S. N. Omkar, Sivaranjani V, J. Senthilnath, Suman Mukherjee. "Dimensionality Reduction and Classification of Hyperspectral Data, "Vol. 2, Number 3, pp. 157-163. 2010
12. J. Timmis, Artificial immune systems: "A novel data analysis technique inspired by the immune network theory," PhD thesis, 2000
13. Tao Liu, Yan Zhou, Zhifeng Hu, Zhijie Wang."A New Clustering Algorithm Based on Artificial Immune System", Fifth International Conference on Fuzzy Systems and Knowledge Discovery
14. Yanfei Zhong, Liangpei Zhang, Bo Huang, and Pingxiang Li, "An Unsupervised Artificial Immune Classifier for Multi/Hyperspectral Remote Sensing Imagery", IEEE Transactions On Geoscience And Remote Sensing, Vol. 44, No. 2, February 2006
15. Sutton, R. S. & Barto, A. G. (1998), "Reinforcement Learning an Introduction", A Bradford Book.
16. Jeme, N. K. (1974a), "Towards a Network Theory of the Immune System", Ann. Itnmunol. (Inst. Pasteur) 125C, pp.373-389
17. DE Castro, Von Zuben."Artificial Immune Systems: Part I-Basic Theory and Applications". Technical Report-RT DCA 01/99, URL:http://www.dca.fee. unicamp.br/lnunes.