Full Convolution Neural Network Combined with Contextual Feature Representation for Cropland Extraction from High-Resolution Remote Sensing Images

The quantity and quality of cropland are the key to ensuring the sustainable development of national agriculture. Remote sensing technology can accurately and timely detect the surface information, and objectively reflect the state and changes of the ground objects. Using high-resolution remote sens...

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Hlavní autoři: Zhuqiang Li, Shengbo Chen, Xiangyu Meng, Ruifei Zhu, Junyan Lu, Lisai Cao, Peng Lu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2022-04-01
Edice:Remote Sensing
Témata:
high-resolution remote sensing image
contextual features
fully convolutional neural network
cropland extraction
morphological post-processing
On-line přístup:https://www.mdpi.com/2072-4292/14/9/2157
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