A Method for Fast Remote Sensing Images Classification

Fengjiao Li, Donglin Jing, Fukun Bi, Hao Shi

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Due to the characteristic of high score remote sensing images, such as large file, chaotic content and complex information, the demand for image classification speed and accuracy is increasing. In this paper, we combine the convolutional neural network and octave convolution to extract the complex high-order statistical properties of the image. We first analyze the more classical convolutional neural network, and use the octave convolution to make full use of the fine details of the changes of the high-frequency information of the remote sensing image. The memory and computing resources consumed are greatly reduced, and network optimization is performed. The test proves that the result is effective for speed and accuracy improvements.

源语言英语
主期刊名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728123455
DOI
出版状态已出版 - 12月 2019
活动2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国
期限: 11 12月 201913 12月 2019

出版系列

姓名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

会议

会议2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
国家/地区中国
Chongqing
时期11/12/1913/12/19

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