Remote Sensing Images Recognition by Deep Convolutional Neural Networks

被引：0
|
作者：
Zhou, Tao [1 ]
Chen, Yuanyuan [2 ]
机构：
[1] Univ Elect Sci & Technol China, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, Coll Comp Sci, SCU, Chengdu, Sichuan, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE) | 2018年
关键词：
remote sensing image recognition; deep learning; neural networks; convolutional neural networks;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Remote sensing image recognition is widely applied, such as agriculture, forest monitoring and meteorology. The effect of remote sensing application analysis greatly depends on the accuracy of image recognition. In this paper, we proposed an image recognition method for remote sensing images using deep convolutional neural network. The neural network learned the feature via training data automatically. After training, the network can recognize query images in a relative high accuracy. According to the experimental results, the proposed method shows a good performance on a given remote sensing image dataset.
引用
收藏
页码：202 / 205
页数：4
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