NDLI: Joint-classification change detection based on improved fuzzy ARTMAP

Content Provider	IEEE Xplore Digital Library
Author	Min Han Yang Zhou
Copyright Year	2015
Abstract	Post-Classification Comparison(PCC) method is widely used in change detection for remote sensing images, but it is affected by a significant cumulative error caused by single remote sensing image classification during change detection, which leads to the excessive evaluation of changed types and quantity. To solve this problem, this paper proposes a change detection method for remote sensing images based on Adaptive Resonance Theory Mapping (ARTMAP) neural network. Similarity matrix is constructed by spectral feature vectors. Then the threshold value of similarity is obtained, which is used to control the joint-classification classifier based on the ARTMAP neural network. In addition, an adaptive algorithm of vigilance parameter is introduced to the classification process of fuzzy ARTMAP neural network. The experimental results obtained on remote sensing images show that the proposed method not only accurately classifies the unchanged geographical information in different temporal images into the same class, but also reduces the cumulative error and improves the accuracy of change detection compared with other methods.
Starting Page	346
Ending Page	349
File Size	366210
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7325771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Accuracy Neurons Training Neural networks Classification algorithms Change detection algorithms joint-classification remote sensing change detection post-classification comparison adaptive resonance theory mapping
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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