Hyperspectral remote sensing for light pollution monitoring

Autor: P. Marcoionni, D. Guzzi, F. Castagnoli, M. Benvenuti, A. Barducci, I. Pippi

Publikováno v: Annals of Geophysics, Vol 49, Iss 1 (2006)

industries. In this paper we introduce the results from a remote sensing campaign performed in September 2001 at night time. For the first time nocturnal light pollution was measured at high spatial and spectral resolution using two airborne hyperspe

Externí odkaz: https://doaj.org/article/617c7bf0d20a48f297ab8df9fdaab72b

IR camera for NEO detection based on Compressive Sensing technologies

Autor: C. Lastri (1), S. Baronti (1), G. Coluccia (2), D. Guzzi (1), D. Labate (3), E. Magli (2), M. Miranda (4), V. Nardino (1), L. Palombi (1), I. Pippi (1), A. Zuccaro Marchi (4), V. Raimondi (1)

Publikováno v: 14th International Workshop on Advanced Infrared Technology and Applications, AITA 2017, Québec City (Canada), 27-29/09/2017
info:cnr-pdr/source/autori:C. Lastri (1), S. Baronti (1), G. Coluccia (2), D. Guzzi (1), D. Labate (3), E. Magli (2), M. Miranda (4), V. Nardino (1), L. Palombi (1), I. Pippi (1), A. Zuccaro Marchi (4), V. Raimondi (1)/congresso_nome:14th International Workshop on Advanced Infrared Technology and Applications, AITA 2017/congresso_luogo:Québec City (Canada)/congresso_data:27-29%2F09%2F2017/anno:2017/pagina_da:/pagina_a:/intervallo_pagine

Compressive Sensing (CS) techniques are well suited to the infrared (IR) spectral range where they can be exploited in order to reduce payload budgets, data throughput and costs. This paper presents the preliminary study of a new CS-based instrument

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::fdd1dc498c778fddc830584da67514bc
http://qirt.org/archives/AITA2017/Booklet.pdf

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Compressive sensing and its potential for infrared applications

Autor: D. Guzzi, C. Lastri, V. Nardino, L. Palombi, I. Pippi, V. Raimondi, A. Barducci

Publikováno v: AITA-2015, Pisa-Italy, 29/09-02/10/2015
info:cnr-pdr/source/autori:D. Guzzi, C. Lastri, V. Nardino, L. Palombi, I. Pippi, V. Raimondi, A. Barducci/congresso_nome:AITA-2015/congresso_luogo:Pisa-Italy/congresso_data:29%2F09-02%2F10%2F2015/anno:2015/pagina_da:/pagina_a:/intervallo_pagine

Compressive sensing (CS) allows the reconstruction of signals acquired at sampling frequency below the Nyquist rate relying on the assumption that the acquired signal is sparse (i.e it exhibits a certain degree of correlation). The possibility of und

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::ed77f64bba9f8b63be7eb37e89240c8f
http://www.cnr.it/prodotto/i/340676

Atmospheric Optical Depth Retrieval from Multiangle Chris Images

Autor: A. V. Moshkov, V. N. Pozhidaev, A. A. Semenov, A. Barducci, D. Guzzi, V. Nardino, I. Pippi

Publikováno v: International journal of remote sensing applications
3 (2013): 93–101.
info:cnr-pdr/source/autori:A. V. Moshkov, V. N. Pozhidaev, A. A. Semenov, A. Barducci, D. Guzzi, V. Nardino, I. Pippi/titolo:Atmospheric Optical Depth Retrieval from Multiangle Chris Images/doi:/rivista:International journal of remote sensing applications (Print)/anno:2013/pagina_da:93/pagina_a:101/intervallo_pagine:93–101/volume:3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::1630ffdc8ca1ea4751ea7ce675e625fa
https://publications.cnr.it/doc/297573