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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16377
Title: An approach to detect hotspots with INSAT-3D data
Authors: Ahmed T.
Naidu S.V.
Singh, Dharmendra Prasad
Balasubramanian R.
Published in: Proceedings of RAECE 2015 , National Conference on Recent Advances in Electronics and Computer Engineering
Abstract: As an important representative of climate change and main disruption to environments, subsurface fire (Hotspot) is coming extended scientists and the general public consideration. Satellite images play an important role to get quick and complete information about the occurrence and development of subsurface fire. In this paper, INSAT-3D data an Indian satellite data has been utilized. Contextual algorithm is used to detect the potential hotspots and further Artificial Neural Network (ANN) classification has been used to reduce the false alarm rate (FAR) © 2015 IEEE.
Citation: Proceedings of RAECE 2015 , National Conference on Recent Advances in Electronics and Computer Engineering, (2016), 267- 270
URI: https://doi.org/10.1109/RAECE.2015.7510204
http://repository.iitr.ac.in/handle/123456789/16377
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: ANN Classification
Contextual Thresholding
Hotspot
INSAT-3D
ISBN: 9.78E+12
Author Scopus IDs: 55549594300
56539414300
36912015700
7103127999
Author Affiliations: Ahmed, T., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Naidu, S.V., Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Singh, D., Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Balasubramanian, R., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Appears in Collections:Conference Publications [ECE]

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