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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guang Yang Bai Zhang Xiaojuan Wang Jianfeng Zhang Zhenyu Pang Hang Li Xianghua Yang |
| Copyright Year | 2010 |
| Description | Author affiliation: Northeast Institute of Geography and Agricultural, Ecology Chinese Academy of Sciences (CAS), Changchun, Jilin, CHINA, 130012 (Bai Zhang) || Special Profession Department, Aviation University of Air Force, Changchun, Jilin, CHINA 130022 (Guang Yang) || Aviation University of Air Force, Changchun, Jilin, CHINA 130022 (Xiaojuan Wang; Jianfeng Zhang; Zhenyu Pang; Hang Li) || Foshan Polytechnic College, GuangDong, CHINA 528237 (Xianghua Yang) |
| Abstract | The airplane goal's automatic identification is a research hot spot which realizing the target automatic recognition of the remote sensing image. The BP neural network is a multi-layered network which using the non-linear differentiable function to carry on the weight training. It has contained the most essence part in the neural network theory; the BP neural network has obtained the widespread application in the domains of function approach, pattern Identification, information class and data compression because of its simple structure. Identified and researched the type of airplane based on the artificial neural networks method using the MATLAB software. The result indicated: the accuracy of airplane target recognition may achieve 72.1% based on the BP neural network and it can meet the needs. |
| Starting Page | 727 |
| Ending Page | 729 |
| File Size | 342476 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424465828 |
| e-ISBN | 9781424465859 |
| DOI | 10.1109/ICICISYS.2010.5658501 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer languages Image recognition BP Neural Network Target recognition Atmospheric modeling Biological system modeling Network training Pattern Identification Adaptation model Mathematical model Airplane target |
| Content Type | Text |
| Resource Type | Article |
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