Improved Winter Wheat Spatial Distribution Extraction from High-Resolution Remote Sensing Imagery Using Semantic Features and Statistical Analysis
Improving the accuracy of edge pixel classification is an important aspect of using convolutional neural networks (CNNs) to extract winter wheat spatial distribution information from remote sensing imagery. In this study, we established a method using prior knowledge obtained from statistical analys...
Main Authors: | Feng Li, Chengming Zhang, Wenwen Zhang, Zhigang Xu, Shouyi Wang, Genyun Sun, Zhenjie Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/3/538 |
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