Building Extraction Based on an Optimized Stacked Sparse Autoencoder of Structure and Training Samples Using LIDAR DSM and Optical Images

In this paper, a building extraction method is proposed based on a stacked sparse autoencoder with an optimized structure and training samples. Building extraction plays an important role in urban construction and planning. However, some negative effects will reduce the accuracy of extraction, such...

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Detalles Bibliográficos
Autores principales: Yan, Yiming, Tan, Zhichao, Su, Nan, Zhao, Chunhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621110/
https://www.ncbi.nlm.nih.gov/pubmed/28837118
http://dx.doi.org/10.3390/s17091957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621110/
https://www.ncbi.nlm.nih.gov/pubmed/28837118
http://dx.doi.org/10.3390/s17091957

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