Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Han V. Nguyen"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6882-6896 (2021)
The Sentinel-2 (S2) constellation provides multispectral images at 10 m, 20 m, and 60 m resolution bands. Obtaining all bands at 10 m resolution would benefit many applications. Recently, many model-based and deep learning (DL)-based sharpening metho
Externí odkaz:
https://doaj.org/article/bc08cf61f0f944f9aa8ea764dea80bfa
Autor:
Sveinn E. Armannsson, Magnus O. Ulfarsson, Jakob Sigurdsson, Han V. Nguyen, Johannes R. Sveinsson
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2192 (2021)
In the context of earth observation and remote sensing, super-resolution aims to enhance the resolution of a captured image by upscaling and enhancing its details. In recent years, numerous methods for super-resolution of Sentinel-2 (S2) multispectra
Externí odkaz:
https://doaj.org/article/b4d110d671304067a4f0a29469dad8b0
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29396f175da0aaff499c76c49cf4c256
https://doi.org/10.1109/tgrs.2022.3215902
https://doi.org/10.1109/tgrs.2022.3215902
Autor:
James Wetherbee, Daniel Torres, Sara Hering, Sebastian Padilla, Gabriel Gustavson, Kai Korte-Wormley, Oweis Mokatish, Sankrit Mhaske, Natalie Cruz, Garrett Ostrander, Han V. Nguyen
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf851e76c769b85066d3fff66a1bda3
https://doi.org/10.2514/6.2023-1598
https://doi.org/10.2514/6.2023-1598
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee40f97dee1907d39e5bf194755834e6
https://doi.org/10.1109/igarss46834.2022.9883576
https://doi.org/10.1109/igarss46834.2022.9883576
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86e3400f41ad3e2549111e9ac360009c
https://doi.org/10.1109/igarss46834.2022.9884071
https://doi.org/10.1109/igarss46834.2022.9884071
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:3369-3382
Hyperspectral images (HSIs) are useful for many remote sensing applications. However, they are usually affected by noise that degrades the HSIs quality. Therefore, HSI denoising is important to improve the performance of subsequent HSI processing and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba4e375344a8be8572fc9d3423677b4d
https://doi.org/10.1109/tgrs.2020.3008844
https://doi.org/10.1109/tgrs.2020.3008844
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6882-6896 (2021)
The Sentinel-2 (S2) constellation provides multispectral images at 10 m, 20 m, and 60 m resolution bands. Obtaining all bands at 10 m resolution would benefit many applications. Recently, many model-based and deep learning (DL)-based sharpening metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83afbf0f57c33ea1f1877d18c38d7777
https://doi.org/10.1109/jstars.2021.3092286
https://doi.org/10.1109/jstars.2021.3092286
Publikováno v:
IGARSS
This paper proposes a novel method for sharpening the 20 m bands of the multispectral images acquired by the Sentinel-2 (S2) constellation. We formulate the S2 sharpening as an inverse problem and solve it using an unsupervised convolutional neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31376e1ae7ef254c2771388ca7a0ea9b
https://doi.org/10.1109/igarss47720.2021.9555082
https://doi.org/10.1109/igarss47720.2021.9555082
Autor:
Jakob Sigurdsson, Johannes R. Sveinsson, Magnus O. Ulfarsson, Sveinn E. Armannsson, Han V. Nguyen
Publikováno v:
Remote Sensing, Vol 13, Iss 2192, p 2192 (2021)
Remote Sensing; Volume 13; Issue 11; Pages: 2192
Remote Sensing; Volume 13; Issue 11; Pages: 2192
In the context of earth observation and remote sensing, super-resolution aims to enhance the resolution of a captured image by upscaling and enhancing its details. In recent years, numerous methods for super-resolution of Sentinel-2 (S2) multispectra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450de872becb25a67fc87361240e7632
https://www.mdpi.com/2072-4292/13/11/2192
https://www.mdpi.com/2072-4292/13/11/2192