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An Adversarial Generative Network for Crop Classification from Remote Sensing Timeseries Images

Due to the increasing demand for the monitoring of crop conditions and food production, it is a challenging and meaningful task to identify crops from remote sensing images. The state-of the-art crop classification models are mostly built on supervised classification models such as support vector ma...

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Hlavní autoři: Jingtao Li, Yonglin Shen, Chao Yang
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2020-12-01
Edice:Remote Sensing
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On-line přístup:https://www.mdpi.com/2072-4292/13/1/65
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