Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network

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9th International Conference on Information Technology (ICIT'06)

Bhubaneswar, India

December 18-December 21

ISBN: 0-7695-2635-7

	ASCII Text	x
	Swarnajyoti Patra, Susmita Ghosh, Ashish Ghosh, "Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network," Information Technology, International Conference on, pp. 141-142, 9th International Conference on Information Technology (ICIT'06), 2006.

	BibTex	x
	@article{ 10.1109/ICIT.2006.87, author = {Swarnajyoti Patra and Susmita Ghosh and Ashish Ghosh}, title = {Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network}, journal ={Information Technology, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2635-7}, pages = {141-142}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIT.2006.87}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Information Technology, International Conference on TI - Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network SN - 0-7695-2635-7 SP141 EP142 A1 - Swarnajyoti Patra, A1 - Susmita Ghosh, A1 - Ashish Ghosh, PY - 2006 KW - null VL - 0 JA - Information Technology, International Conference on ER -

Swarnajyoti Patra, Jadavpur University, Kolkata, India

Susmita Ghosh, Jadavpur University, Kolkata, India

Ashish Ghosh, Indian Statistical Institute, Kolkata, India

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIT.2006.87

In this paper, we propose an unsupervised changedetection technique based on Self-Organizing Feature Map neural network that discriminates the "difference image" by constructing two clusters. In the proposed network, the number of input neurons is equal to the dimension of the input pattern while the number of output neurons is two. To confirm the effectiveness of the proposed technique a comparative study is made with another existing contextsensitive technique.

Citation:

Swarnajyoti Patra, Susmita Ghosh, Ashish Ghosh, "Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network," icit, pp.141-142, 9th International Conference on Information Technology (ICIT'06), 2006

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