Extracting Crop Spatial Distribution from Gaofen 2 Imagery Using a Convolutional Neural Network

Extracting Crop Spatial Distribution from Gaofen 2 Imagery Using a Convolutional Neural Network

Using satellite remote sensing has become a mainstream approach for extracting crop spatial distribution. Making edges finer is a challenge, while simultaneously extracting crop spatial distribution information from high-resolution remote sensing images using a convolutional neural network (CNN). Ba...

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Bibliographic Details
Main Authors: Yan Chen, Chengming Zhang, Shouyi Wang, Jianping Li, Feng Li, Xiaoxia Yang, Yuanyuan Wang, Leikun Yin
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
convolutional neural network
high-resolution remote sensing imagery
Gaofen 2 imagery
crops
winter wheat
spatial distribution information
Feicheng county
Online Access:https://www.mdpi.com/2076-3417/9/14/2917

Internet

https://www.mdpi.com/2076-3417/9/14/2917

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