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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7979
Title: A fuzzy logic approach to detect hotspots with NOAA/AVHRR image using multi-channel information fusion technique
Authors: Gautam R.S.
Singh, Dharmendra
Mittal A.
Published in: Signal, Image and Video Processing
Abstract: This paper proposes a novel approach to detect hotspots using NOAA advanced very high resolution radiometer (AVHRR) for the Jharia, Jharkhand (India) region. Jharia coalfield in Jharkhand is the richest coal bearing area in India that contains a large number of mine fires which have been burning for several decades. In this paper, a fuzzy based methodology has been applied for the determination of hotspots to Jharia AVHRR images based on a theoretical model that establishes relationship among AVHRR channel 4, channel 5 and different vegetation indices. The algorithm consists of four stages: data preprocessing, multi-channel information fusion, hotspot detection using fuzzy logic approach and validation of result. The most commonly used existing algorithms like contextual algorithms, multi-thresholding, entropy based thresholding, and genetic algorithms have limitation that they need some mathematical model for training in order to get the required result. The employed fuzzy logic approach overcomes this requirement and in addition, it is flexible, tolerant of imprecise data and is based on natural language. The results were compared with the results obtained by ground survey and a good agreement has been obtained between observed and predicted hotspots. © 2007 Springer-Verlag London Limited.
Citation: Signal, Image and Video Processing (2007), 1(4): 347-357
URI: https://doi.org/10.1007/s11760-007-0028-1
http://repository.iitr.ac.in/handle/123456789/7979
Issue Date: 2007
Keywords: Fuzzification
Fuzzy inference system
Fuzzy logic
Hotspot detection
Multi-channel
NOAA advanced very high resolution radiometer (AVHRR)
Remote sensing
ISSN: 18631703
Author Scopus IDs: 23396474600
36912015700
12752738000
Author Affiliations: Gautam, R.S., Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India
Singh, D., Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India
Mittal, A., Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India
Corresponding Author: Gautam, R.S.; Department of Electronics and Computer Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, India; email: rsgcsdec@iitr.ernet.in
Appears in Collections:Journal Publications [ECE]

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