Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Khaled Moghalles"'
Publikováno v:
IET Image Processing, Vol 16, Iss 12, Pp 3258-3267 (2022)
Abstract The segmentation of building from satellite and airborne images is necessary for high‐resolution buildings maps generation and it is still challenging. On annotated pixel‐level images, trained deep convolutional neural networks (CNNs) we
Externí odkaz:
https://doaj.org/article/db438a1126294283b952dc3605347a3c
Publikováno v:
Entropy, Vol 24, Iss 5, p 741 (2022)
Automatic building semantic segmentation is the most critical and relevant task in several geospatial applications. Methods based on convolutional neural networks (CNNs) are mainly used in current building segmentation. The requirement of huge pixel-
Externí odkaz:
https://doaj.org/article/131a3f6f143d4625b04327f4e3bd2ecf
Publikováno v:
Journal of Applied Remote Sensing. 16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6f35ce4e73f4d0b38607bb03a4bdf50
https://doi.org/10.1117/1.jrs.16.024513
https://doi.org/10.1117/1.jrs.16.024513
Publikováno v:
2021 International Conference of Technology, Science and Administration (ICTSA).
Building extraction from very high resolution (VHR) imagery plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. The automatic generation of buildings fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0738c227ea5421fe1658ff552b1aeb8
https://doi.org/10.1109/ictsa52017.2021.9406538
https://doi.org/10.1109/ictsa52017.2021.9406538