Zobrazeno 1 - 10
of 68
pro vyhledávání: '"super-resolution restoration"'
Autor:
Abdelwahab Said Hassan, Anuradha Thakare, Manisha Bhende, K.D.V. Prasad, Pavitar Parkash Singh, Haewon Byeon
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101211- (2024)
High-resolution pathological images play a pivotal role in accurate disease diagnosis and are important in precision medicine. However, obtaining real-time high-resolution images faces challenges due to hardware limitations and scanning time constrai
Externí odkaz:
https://doaj.org/article/498eafca96cf4f34b425f0fcebda9d42
Autor:
LI Ning, NIU Shilin
Publikováno v:
Leida xuebao, Vol 9, Iss 1, Pp 174-184 (2020)
The extraction of water from Synthetic Aperture Radar (SAR) images is of great significance in water resources investigation and monitoring disasters. To deal with the problems of the insufficient accuracy of water boundaries extracted from middle-lo
Externí odkaz:
https://doaj.org/article/653b4671806f4ba3882cfb6a81c66bb5
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Yu Tao, Siting Xiong, Jan-Peter Muller, Greg Michael, Susan J. Conway, Gerhard Paar, Gabriele Cremonese, Nicolas Thomas
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 257 (2022)
We propose using coupled deep learning based super-resolution restoration (SRR) and single-image digital terrain model (DTM) estimation (SDE) methods to produce subpixel-scale topography from single-view ESA Trace Gas Orbiter Colour and Stereo Surfac
Externí odkaz:
https://doaj.org/article/5d567344831947be922921334c6931f7
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2614 (2021)
Higher spatial resolution imaging data are considered desirable in many Earth observation applications. In this work, we propose and demonstrate the TARSGAN (learning Terrestrial image deblurring using Adaptive weighted dense Residual Super-resolutio
Externí odkaz:
https://doaj.org/article/3635f40ed0ca44bba234e53794dda965
Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System
Autor:
Yu Tao, Jan-Peter Muller
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2269 (2021)
We introduce a robust and light-weight multi-image super-resolution restoration (SRR) method and processing system, called OpTiGAN, using a combination of a multi-image maximum a posteriori approach and a deep learning approach. We show the advantage
Externí odkaz:
https://doaj.org/article/134252fc08a7477195709543261c9515
Autor:
Yu Tao, Susan J. Conway, Jan-Peter Muller, Alfiah R. D. Putri, Nicolas Thomas, Gabriele Cremonese
Publikováno v:
Remote Sensing, Vol 13, Iss 9, p 1777 (2021)
The ExoMars Trace Gas Orbiter (TGO)’s Colour and Stereo Surface Imaging System (CaSSIS) provides multi-spectral optical imagery at 4–5 m/pixel spatial resolution. Improving the spatial resolution of CaSSIS images would allow greater amounts of sc
Externí odkaz:
https://doaj.org/article/f8aa0434e4504610931f018bba48253d
Autor:
Yu Tao, Jan-Peter Muller
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 52 (2018)
High spatial resolution Earth observation imagery is considered desirable for many scientific and commercial applications. Given repeat multi-angle imagery, an imaging instrument with a specified spatial resolution, we can use image processing and de
Externí odkaz:
https://doaj.org/article/dc665ad7883c44c28eda37a5f84fdc1e
Autor:
Nicolas Thomas, Gabriele Cremonese, Susan J. Conway, Jan-Peter Muller, Alfiah Rizky Diana Putri, Yu Tao
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (9), pp.1777. ⟨10.3390/rs13091777⟩
Volume 13
Issue 9
Pages: 1777
Tao, Yu; Conway, Susan J.; Muller, Jan-Peter; Putri, Alfiah R. D.; Thomas, Nicolas; Cremonese, Gabriele (2021). Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets. Remote sensing, 13(9), p. 1777. Molecular Diversity Preservation International MDPI 10.3390/rs13091777
Remote Sensing, Vol 13, Iss 1777, p 1777 (2021)
Remote Sensing, MDPI, 2021, 13 (9), pp.1777. ⟨10.3390/rs13091777⟩
Volume 13
Issue 9
Pages: 1777
Tao, Yu; Conway, Susan J.; Muller, Jan-Peter; Putri, Alfiah R. D.; Thomas, Nicolas; Cremonese, Gabriele (2021). Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets. Remote sensing, 13(9), p. 1777. Molecular Diversity Preservation International MDPI 10.3390/rs13091777
Remote Sensing, Vol 13, Iss 1777, p 1777 (2021)
International audience; The ExoMars Trace Gas Orbiter (TGO)’s Colour and Stereo Surface Imaging System (CaSSIS) provides multi-spectral optical imagery at 4–5 m/pixel spatial resolution. Improving the spatial resolution of CaSSIS images would all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01689c2884cc5a60dcc778d5701ff025