Sugarnet: A Novel Deep Learning Approach to Sugarcane Field Segmentation in Satellite Imagery

Author:

Yuan Yujian,Yang Lina,Chang Kan,Huang Youju,Yang Haoyan,Wang Jiale

Publisher

Elsevier BV

Reference42 articles.

1. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;V Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell,2017

2. Identification of cotton and corn plant areas by employing deep transformer encoder approach and different time series satellite images: A case study in Diyarbakir;R ? Ba?c;Turkey. Comput. Electron. Agric,2023

3. Production of bioethanol from sugarcane bagasse: Status and perspectives;C A Cardona;Bioresour. Technol,2010

4. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs;L.-C Chen;IEEE Trans. Pattern Anal. Mach. Intell,2017

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