Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Stefano Baronti"'
Publikováno v:
Engineering Proceedings, Vol 51, Iss 1, p 30 (2023)
Several studies have already evaluated the ability to identify wildfires and their characteristics by using NOAA-AVHRR and EO-MODIS images, which have adequate spectral bands for these targets, although with a spatial resolution limited to 1 km and a
Externí odkaz:
https://doaj.org/article/91bcc11fd239437ea627fa6f58903fc8
Publikováno v:
Engineering Proceedings, Vol 51, Iss 1, p 29 (2023)
Soil Moisture (SM) is a key parameter in several research and application fields, from climate studies to farming, from natural disaster prediction to land management. In this respect, Earth Observation (EO) images have been widely recognized as a us
Externí odkaz:
https://doaj.org/article/c5862921fc49495391d3e70b0fab927d
Publikováno v:
Symmetry, Vol 11, Iss 6, p 775 (2019)
In this work, the Sieve of Eratosthenes procedure (in the following named Sieve procedure) is approached by a novel point of view, which is able to give a justification of the Prime Number Theorem (P.N.T.). Moreover, an extension of this procedure to
Externí odkaz:
https://doaj.org/article/decf081200ff4ca8a2f8818ae89ba35a
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 791 (2019)
A noticeable topic to be pursued in the field of on-board real-time data processing is the influence of the modulation transfer function (MTF) of the image acquisition system on the lossless compressibility of raw (that is, uncalibrated) hyperspectra
Externí odkaz:
https://doaj.org/article/ae71687f053f4c8da48e0f3d886261d5
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2012 (2012)
Distortion allocation varying with wavelength in lossy compression of hyperspectral imagery is investigated, with the aim of minimizing the spectral distortion between original and decompressed data. The absolute angular error, or spectral angle mapp
Externí odkaz:
https://doaj.org/article/23af59eb37b743888b4b7f2f7e165179
Publikováno v:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV.
Publikováno v:
IEEE geoscience and remote sensing letters
16 (2019): 987–991. doi:10.1109/LGRS.2018.2884087
info:cnr-pdr/source/autori:Selva, M.; Santurri, L.; Baronti, S./titolo:Improving Hypersharpening for WorldView-3 Data/doi:10.1109%2FLGRS.2018.2884087/rivista:IEEE geoscience and remote sensing letters (Print)/anno:2019/pagina_da:987/pagina_a:991/intervallo_pagine:987–991/volume:16
16 (2019): 987–991. doi:10.1109/LGRS.2018.2884087
info:cnr-pdr/source/autori:Selva, M.; Santurri, L.; Baronti, S./titolo:Improving Hypersharpening for WorldView-3 Data/doi:10.1109%2FLGRS.2018.2884087/rivista:IEEE geoscience and remote sensing letters (Print)/anno:2019/pagina_da:987/pagina_a:991/intervallo_pagine:987–991/volume:16
In this letter, hypersharpening is analyzed in depth by investigating some weaknesses present in its formulation. It is shown that the key formula of the synthesized band variant can be simplified under certain circumstances. In addition, a novel fus
Publikováno v:
pp.1–22, 2021
Riemann Hypothesis (RH) is one of the most important unresolved problems in mathematics. It is based on the observation that a link exists between the positions on the critical strip 0 < R(s) < 1, s E C, of the non-trivial zeroes in the Riemann's zet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::c3155efcab475b144ffe04b9b0224ad7
https://publications.cnr.it/doc/461803
https://publications.cnr.it/doc/461803
Autor:
Mahdi Zarei, Reza Ghazavi, Khodayar Abdollahi, Roberto Ranzi, Ramesh S. V. Teegavarapu, Stefano Barontini
Publikováno v:
Water Supply, Vol 24, Iss 2, Pp 397-415 (2024)
The research aims to investigate the spatiotemporal changes of water balance components and distinguish the relative impacts of climatic data and land-use on groundwater level in northeastern Iran. This investigation employs the WetSpass-M model to e
Externí odkaz:
https://doaj.org/article/3f3b8ca3a555475580b1eef2ef413ad3
Publikováno v:
IEEE geoscience and remote sensing letters
15 (2018): 320–324. doi:10.1109/LGRS.2017.2777916
info:cnr-pdr/source/autori:Selva, M.; Santurri, L.; Baronti, S./titolo:On the Use of the Expanded Image in Quality Assessment of Pansharpened Images/doi:10.1109%2FLGRS.2017.2777916/rivista:IEEE geoscience and remote sensing letters (Print)/anno:2018/pagina_da:320/pagina_a:324/intervallo_pagine:320–324/volume:15
15 (2018): 320–324. doi:10.1109/LGRS.2017.2777916
info:cnr-pdr/source/autori:Selva, M.; Santurri, L.; Baronti, S./titolo:On the Use of the Expanded Image in Quality Assessment of Pansharpened Images/doi:10.1109%2FLGRS.2017.2777916/rivista:IEEE geoscience and remote sensing letters (Print)/anno:2018/pagina_da:320/pagina_a:324/intervallo_pagine:320–324/volume:15
This letter discusses whether the expanded multispectral image, i.e., the original multispectral image upsampled to the panchromatic scale, can be used during the assessment of the quality of pansharpened multispectral images. By considering Wald's p