Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network
Joint Authors
Song, Haisheng
Xu, Ruisong
Ma, Yueliang
Li, Gaofei
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The back propagation neural network (BPNN) algorithm can be used as a supervised classification in the processing of remote sensing image classification.
But its defects are obvious: falling into the local minimum value easily, slow convergence speed, and being difficult to determine intermediate hidden layer nodes.
Genetic algorithm (GA) has the advantages of global optimization and being not easy to fall into local minimum value, but it has the disadvantage of poor local searching capability.
This paper uses GA to generate the initial structure of BPNN.
Then, the stable, efficient, and fast BP classification network is gotten through making fine adjustments on the improved BP algorithm.
Finally, we use the hybrid algorithm to execute classification on remote sensing image and compare it with the improved BP algorithm and traditional maximum likelihood classification (MLC) algorithm.
Results of experiments show that the hybrid algorithm outperforms improved BP algorithm and MLC algorithm.
American Psychological Association (APA)
Song, Haisheng& Xu, Ruisong& Ma, Yueliang& Li, Gaofei. 2013. Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010492
Modern Language Association (MLA)
Song, Haisheng…[et al.]. Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1010492
American Medical Association (AMA)
Song, Haisheng& Xu, Ruisong& Ma, Yueliang& Li, Gaofei. Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010492
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010492