Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features

Land use classification is a fundamental task of information extraction from remote sensing imagery. Semantic segmentation based on deep convolutional neural networks (DCNNs) has shown outstanding performance in this task. However, these methods are still affected by the loss of spatial features. In...

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Detalles Bibliográficos
Autores principales: Yao, Xuedong, Yang, Hui, Wu, Yanlan, Wu, Penghai, Wang, Biao, Zhou, Xinxin, Wang, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631649/
https://www.ncbi.nlm.nih.gov/pubmed/31234384
http://dx.doi.org/10.3390/s19122792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631649/
https://www.ncbi.nlm.nih.gov/pubmed/31234384
http://dx.doi.org/10.3390/s19122792

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