High-Resolution U-Net: Preserving Image Details for Cultivated Land Extraction

Accurate and efficient extraction of cultivated land data is of great significance for agricultural resource monitoring and national food security. Deep-learning-based classification of remote-sensing images overcomes the two difficulties of traditional learning methods (e.g., support vector machine...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Wenna, Deng, Xinping, Guo, Shanxin, Chen, Jinsong, Sun, Luyi, Zheng, Xiaorou, Xiong, Yingfei, Shen, Yuan, Wang, Xiaoqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436155/
https://www.ncbi.nlm.nih.gov/pubmed/32707825
http://dx.doi.org/10.3390/s20154064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436155/
https://www.ncbi.nlm.nih.gov/pubmed/32707825
http://dx.doi.org/10.3390/s20154064

Ejemplares similares