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pro vyhledávání: '"Younghwan Na"'
Autor:
Haeyun Lee, Kyungsu Lee, Jun Hee Kim, Younghwan Na, Juhum Park, Jihwan P. Choi, Jae Youn Hwang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4139-4149 (2021)
Change detection is an important task in the field of remote sensing. Various change detection methods based on convolutional neural networks (CNNs) have recently been proposed for remote sensing using satellite or aerial images. However, existing me
Externí odkaz:
https://doaj.org/article/61f400ece15d4b15ae407e6ae1b6e95f
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:5171-5182
Semantic segmentation models based on convolutional neural networks (CNNs) have gained much attention in relation to remote sensing and have achieved remarkable performance for the extraction of buildings from high-resolution aerial images. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cbac90112894a1a5a39a068f3b6c5ca
https://doi.org/10.1109/tgrs.2020.3010055
https://doi.org/10.1109/tgrs.2020.3010055
Autor:
Kyungsu Lee, Jihwan P. Choi, Jun Hee Kim, Haeyun Lee, Juhum Park, Younghwan Na, Jae Youn Hwang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4139-4149 (2021)
Change detection is an important task in the field of remote sensing. Various change detection methods based on convolutional neural networks (CNNs) have recently been proposed for remote sensing using satellite or aerial images. However, existing me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b4e3ad6dd4986bf74c3bae50342baa
https://ieeexplore.ieee.org/document/9387529/
https://ieeexplore.ieee.org/document/9387529/