Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Giovanni Marchisio"'
Autor:
Chiman Kwan, Xiaolin Zhu, Feng Gao, Bryan Chou, Daniel Perez, Jiang Li, Yuzhong Shen, Krzysztof Koperski, Giovanni Marchisio
Publikováno v:
Sensors, Vol 18, Iss 4, p 1051 (2018)
Although Worldview-2 (WV) images (non-pansharpened) have 2-m resolution, the re-visit times for the same areas may be seven days or more. In contrast, Planet images are collected using small satellites that can cover the whole Earth almost daily. How
Externí odkaz:
https://doaj.org/article/dd483be15ec24373ae2978a21dfe68e8
Autor:
Freddie Kalaitzis, Gonzalo Mateo-Garcia, Kevin Dobbs, Dolores Garcia, Jason Stoker, Giovanni Marchisio
We show that machine learning models learn and perform better when they know where to expect shadows, through hillshades modeled to the time of imagery acquisition.Shadows are detrimental to all machine learning applications on satellite imagery. Pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600f1cac1b34c7c66e3f1d1c6395c226
https://doi.org/10.5194/egusphere-egu22-8852
https://doi.org/10.5194/egusphere-egu22-8852
Autor:
Akhil Singh Rana, Caglar Senaras, Benjamin Bischke, Patrick Helber, Timothy Davis, Wanda Keersmaecker, Daniele Zanaga, Annett Wania, Ruben Van De Kerchove, Giovanni Marchisio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2be0f7e1ef3f9981ae398200098f55c1
https://doi.org/10.1002/essoar.10509476.1
https://doi.org/10.1002/essoar.10509476.1
New catalogues of nearly daily or even intraday temporal data will soon dominate the global archives. However, there has been little exploration of artificial intelligence (AI) techniques to leverage the high cadence that is already possible to achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d21271b3a5d2c581192a840122004d
https://doi.org/10.5194/egusphere-egu21-13713
https://doi.org/10.5194/egusphere-egu21-13713
Publikováno v:
Proceedings of the 2021 conference on Big Data from Space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::174a91e1cd65b0e337ea82ba0c21d780
Autor:
Rasmus Houborg, Giovanni Marchisio
Planet operates the largest constellation of Earth-observing satellites in human history collecting 1.3 million 29 MP multispectral images over 250 million km2 daily at a resolution of 3-5 meters. This amounts to more than twice the Earth’s total l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c50f1e80871cd6a4193c80793ec0bf
https://doi.org/10.5194/egusphere-egu2020-12492
https://doi.org/10.5194/egusphere-egu2020-12492
Autor:
Rasmus Houborg, Giovanni Marchisio
Access to data is no longer a problem. The recent emergence of new observational paradigms combined with advances in conventional spaceborne sensing has resulted in a proliferation of satellite sensor data. This geospatial information revolution cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea98780ca45169a21e0884cae3b41f95
https://doi.org/10.5194/egusphere-egu2020-13473
https://doi.org/10.5194/egusphere-egu2020-13473
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:1835-1839
WorldView 3 (WV-3) is the first commercially deployed super-spectral, very high-resolution (HR) satellite. However, the resolution of the short-wave infrared (SWIR) bands is much lower than that of the other bands. In this letter, we describe four di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f803a53a9b4c93c94f5272ed4953f250
https://doi.org/10.1109/lgrs.2017.2737820
https://doi.org/10.1109/lgrs.2017.2737820
Publikováno v:
UEMCON
Excavated soil can be used as an indirect indicator of tunnel activities. This paper presents a new sparsity based approach to soil detection using satellite images where the resolution of multispectral bands are pansharpened first. Spatial, temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d7fe5702dfdbdd73f87518431bae72
https://doi.org/10.1109/uemcon.2017.8249061
https://doi.org/10.1109/uemcon.2017.8249061
Autor:
Daniel Perez, Kris Koperski, Giovanni Marchisio, Chiman Kwan, Yuzhong Shen, Minh Dao, Jiang Li, Debrup Banerjee
Publikováno v:
UEMCON
This paper presents a new deep learning based approach for soil detection using high resolution multispectral satellite images with a resolution of 0.31 m. In particular, a deep convolutional neural network (CNN) is proposed for soil detection to ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d01fcda5ffa08783f0a010f583386573
https://doi.org/10.1109/uemcon.2017.8249062
https://doi.org/10.1109/uemcon.2017.8249062