Convolutional Neural Network-Based Remote Sensing Images Segmentation Method for Extracting Winter Wheat Spatial Distribution

Convolutional Neural Network-Based Remote Sensing Images Segmentation Method for Extracting Winter Wheat Spatial Distribution

When extracting winter wheat spatial distribution by using convolutional neural network (CNN) from Gaofen-2 (GF-2) remote sensing images, accurate identification of edge pixel is the key to improving the result accuracy. In this paper, an approach for extracting accurate winter wheat spatial distrib...

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Bibliographic Details
Main Authors: Chengming Zhang, Shuai Gao, Xiaoxia Yang, Feng Li, Maorui Yue, Yingjuan Han, Hui Zhao, Ya’nan Zhang, Keqi Fan
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
remote sensing image segmentation
convolutional neural networks
Gaofen-2
hybrid structure convolutional neural networks
winter wheat spatial distribution
classification-based learning
Online Access:http://www.mdpi.com/2076-3417/8/10/1981

Internet

http://www.mdpi.com/2076-3417/8/10/1981

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