A Multi-Scale Feature Fusion Deep Learning Network for the Extraction of Cropland Based on Landsat Data

A Multi-Scale Feature Fusion Deep Learning Network for the Extraction of Cropland Based on Landsat Data

In the face of global population growth and climate change, the protection and rational utilization of cropland are crucial for food security and ecological balance. However, the complex topography and unique ecological environment of the Qinghai-Tibet Plateau results in a lack of high-precision cro...

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Bibliographic Details
Main Authors: Huiling Chen, Guojin He, Xueli Peng, Guizhou Wang, Ranyu Yin
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
cropland
Yarlungzangbo-Lhasa-Nyangqv River region
deep learning
multi-scale feature
landsat data
training dataset
Online Access:https://www.mdpi.com/2072-4292/16/21/4071
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