Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Jihwan P. Choi"'
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
Autor:
Yonghwa Lee, Jihwan P. Choi
Publikováno v:
IEEE Access, Vol 7, Pp 49077-49087 (2019)
Communication satellites have a much longer propagation delay than terrestrial communication networks such as cellular or WiFi. In addition, as the carrier frequency moves up, mobile satellite communications show worse performances than the conventio
Externí odkaz:
https://doaj.org/article/f8341e7638c8490482e5c3771be4e100
Autor:
Woncheol Cho, Jihwan P. Choi
Publikováno v:
IEEE Access, Vol 7, Pp 113534-113547 (2019)
The low earth orbit (LEO) satellite network can benefit from software-defined networking (SDN) by lightening forwarding devices and improving service diversity. In order to apply SDN into the network, however, reliable SDN control links should be ass
Externí odkaz:
https://doaj.org/article/40b2f0460de54c44a43ef53d0e4e6cb2
Publikováno v:
IEEE Access, Vol 6, Pp 32945-32957 (2018)
As many security solutions integrated with various technologies have been proposed against eavesdropping attacks, technical advances for adversaries can also pose a serious security threat. This paper considers a problem of smart eavesdropping attack
Externí odkaz:
https://doaj.org/article/744cad48314f41efa8580d8e526f7eef
Publikováno v:
IEEE Internet of Things Journal. 9:14938-14951
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 58:2192-2205
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
Various deep learning-based segmentation models have been developed to segment buildings in aerial images. However, the segmentation maps predicted by the conventional convolutional neural network-based methods cannot accurately determine the shapes
Autor:
Jihwan P. Choi, Yonghwa Lee
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:4213-4226
Recently, Low Earth orbit (LEO) satellite-based systems have attracted tremendous attention and various technologies have been developed for payload miniaturization and optical communications. In addition, mega constellation architectures are expecte
Publikováno v:
2022 27th Asia Pacific Conference on Communications (APCC).
Publikováno v:
2022 27th Asia Pacific Conference on Communications (APCC).