Building Change Detection from Bi-Temporal Dense-Matching Point Clouds and Aerial Images

In this work, a novel building change detection method from bi-temporal dense-matching point clouds and aerial images is proposed to address two major problems, namely, the robust acquisition of the changed objects above ground and the automatic classification of changed objects into buildings or no...

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Detalles Bibliográficos
Autores principales: Pang, Shiyan, Hu, Xiangyun, Cai, Zhongliang, Gong, Jinqi, Zhang, Mi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948611/
https://www.ncbi.nlm.nih.gov/pubmed/29587371
http://dx.doi.org/10.3390/s18040966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948611/
https://www.ncbi.nlm.nih.gov/pubmed/29587371
http://dx.doi.org/10.3390/s18040966

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