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Scene Classification of Remote Sensing Images Based on Integrated Convolutional Neural Networks

文献类型：期刊论文

作者Zhang, Xiaonan; Zhong, Xing; Zhu, Ruifei; Gao, Fang; Zhang, Zuoxing; Bao, Songze; Li, Zhuqiang
刊名Guangxue Xuebao/Acta Optica Sinica
出版日期2018
卷号38期号:11
ISSN号2532239
关键词Image classification Backpropagation Complex networks Convolution Data mining Neural networks Open Data Remote sensing
DOI10.3788/AOS201838.1128001
英文摘要A scene classification algorithm of remote sensing images based on the integrated convolutional neural network (CNN) is proposed. A back-propagation network is constructed to measure the complexity of scene images. The classification of these images is conducted with the CNN based on the complexity level of each image, thus, the scene classification of remoting sensing images is achieved. With the proposed algorithm, the experimental verification of the open data of NWPU-RESISC45 is conducted and the classification accuracy of 89.33% for Type I test and that of 92.53% for Type II are obtained, respectively. The average running time is 0.41 s. Compared with the VGG-16 model for fine tuning and training, the classification accuracy by the proposed algorithm is increased by 2.19% and 2.17%, respectively. Simultaneously, the prediction rate is increased by 33%. Thus, the efficiency and practicality of this proposed algorithm are confirmed. 2018, Chinese Lasers Press. All right reserved.
源URL[http://ir.ciomp.ac.cn/handle/181722/60801]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714		 Zhang, Xiaonan,Zhong, Xing,Zhu, Ruifei,et al. Scene Classification of Remote Sensing Images Based on Integrated Convolutional Neural Networks[J]. Guangxue Xuebao/Acta Optica Sinica,2018,38(11).
APA Zhang, Xiaonan.,Zhong, Xing.,Zhu, Ruifei.,Gao, Fang.,Zhang, Zuoxing.,...&Li, Zhuqiang.(2018).Scene Classification of Remote Sensing Images Based on Integrated Convolutional Neural Networks.Guangxue Xuebao/Acta Optica Sinica,38(11).
MLA Zhang, Xiaonan,et al."Scene Classification of Remote Sensing Images Based on Integrated Convolutional Neural Networks".Guangxue Xuebao/Acta Optica Sinica 38.11(2018).

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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