Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Fengde JIA"'
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2881 (2024)
In smart transportation, assisted driving relies on data integration from various sensors, notably LiDAR and cameras. However, their optical performance can degrade under adverse weather conditions, potentially compromising vehicle safety. Millimeter
Externí odkaz:
https://doaj.org/article/b9688975c24447ee9617bdc0d5f1eb84
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4150 (2023)
With the development of autonomous driving and the emergence of various intelligent traffic scenarios, object detection technology based on deep learning is more and more widely applied to real traffic scenarios. Commonly used detection devices inclu
Externí odkaz:
https://doaj.org/article/2026aed03fa54dc58e13eab1c1246959
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10977-10989 (2021)
Over the past few years, convolutional neural network (CNN) has been broadly adopted in remote sensing (RS) imagery processing areas due to its impressive capabilities in feature extraction. Nevertheless, it is still a challenge for CNN-based hypersp
Externí odkaz:
https://doaj.org/article/e92dd3f77f3e4f1aba65b48c4ec7ec84
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4074 (2021)
Super-resolution (SR) technology has emerged as an effective tool for image analysis and interpretation. However, single hyperspectral (HS) image SR remains challenging, due to the high spectral dimensionality and lack of available high-resolution in
Externí odkaz:
https://doaj.org/article/8d60eba8f668425a8c3d23acb7e4cd08
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 288 (2020)
In this paper, a detail-injection method based on a coupled convolutional neural network (CNN) is proposed for hyperspectral (HS) and multispectral (MS) image fusion with the goal of enhancing the spatial resolution of HS images. Owing to the excelle
Externí odkaz:
https://doaj.org/article/3e7408f8324e44bb8c65106dc30a2e64
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :812-815
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7964820f9b2f94c86a0ed0c5c52c88f
https://doi.org/10.1587/transfun.2022wbl0003
https://doi.org/10.1587/transfun.2022wbl0003
Publikováno v:
International Journal of Remote Sensing. 43:5059-5074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb8af1b8e269f1986b0394568b4e9eed
https://doi.org/10.1080/01431161.2022.2128701
https://doi.org/10.1080/01431161.2022.2128701
Publikováno v:
IEICE Transactions on Communications. :608-616
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60b60f7090d67c2210e0c677ecf9fbed
https://doi.org/10.1587/transcom.2021ebp3105
https://doi.org/10.1587/transcom.2021ebp3105
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Hypersharpening (namely, hyperspectral (HS) and multispectral (MS) image fusion) aims at enhancing the spatial resolution of HS image via an auxiliary higher resolution MS image. Currently, numerous hypersharpening methods are proposed successively,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5c17d4ecf9dd5c50aff520be7f3a2d2
https://doi.org/10.1109/tgrs.2021.3063105
https://doi.org/10.1109/tgrs.2021.3063105
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10977-10989 (2021)
Over the past few years, convolutional neural network (CNN) has been broadly adopted in remote sensing (RS) imagery processing areas due to its impressive capabilities in feature extraction. Nevertheless, it is still a challenge for CNN-based hypersp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1133a153da99f1aca1fa2f6e487361
https://ieeexplore.ieee.org/document/9591315/
https://ieeexplore.ieee.org/document/9591315/