GCCINet: Global feature capture and cross-layer information interaction network for building extraction from remote sensing imagery

The extraction of buildings from remote sensing images is a challenging task. However, existing methods are insufficiently accurate because of the diverse types of buildings, large-scale variability, and complex backgrounds in remote sensing images. There are many deficiencies of the extraction resu...

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Detalhes bibliográficos

Principais autores:	Dejun Feng, Hongyu Chen, Yakun Xie, Zichen Liu, Ziyang Liao, Jun Zhu, Heng Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-11-01
coleção:	International Journal of Applied Earth Observations and Geoinformation
Assuntos:	Building extraction Remote sensing imagery Global feature Cross-layer interaction Deep learning
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1569843222002345
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