Zobrazeno 1 - 10
of 160
pro vyhledávání: '"M. Dalla Mura"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 487-494 (2020)
Hyperspectral images (HI) and Light Detection and Ranging (LiDAR) provide high resolution radiometric and geometric information for monitoring forests at individual tree crown (ITC) level. It has many important applications for sustainable forest man
Externí odkaz:
https://doaj.org/article/dabedaf1552f436b87ad1ce2f163c102
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3/W3, Pp 67-72 (2013)
The automated classification of urban areas in one of the main topic in the Geomatics domain. Several papers dealing with this topic have been already presented in the last decade. Most of these approaches uses multi-spectral or LiDAR data or both of
Externí odkaz:
https://doaj.org/article/60b8da24c1c44224b3588394e42b19e8
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Fabrizio Lombardini, M. Dalla Mura, Mathieu Fauvel, Xiao Xiang Zhu, Fabio Dell'Acqua, Xin Huang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019, 12 (8), pp.2588-2593. ⟨10.1109/JSTARS.2019.2936980⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2019, 12 (8), pp.2588-2593. ⟨10.1109/JSTARS.2019.2936980⟩
The papers in this special section examine recent advancements in the processing of high spatial resolution (HSR) remote sensing data. Since HSR remote sensing satellite (IKONOS, in September 1999), we have been entering a new era of high-resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::557bac2494323af4650d88ced328814b
https://hal.inrae.fr/hal-02617946
https://hal.inrae.fr/hal-02617946
Autor:
M. Dalla Mura, Magnus O. Ulfarsson
Publikováno v:
IGARSS
Multiresolution optical remote sensing systems often have a spatial resolution that varies between bands. An example is the Sentinel-2 (S2) constellation which has three levels of spatial resolution 10m, 20m, and 60m. Recently, researchers have explo
Autor:
Guillaume Tochon, Jocelyn Chanussot, M. Dalla Mura, Miguel Angel Veganzones, Philippe Salembier, Silvia Valero
Publikováno v:
Reference Module in Earth Systems and Environmental Sciences
Reference Module in Earth Systems and Environmental Sciences, 143, Elsevier, pp.77-107, 2018, ⟨10.1016/B978-0-12-409548-9.10340-9⟩
Reference Module in Earth Systems and Environmental Sciences, 143, Elsevier, pp.77-107, 2018, ⟨10.1016/B978-0-12-409548-9.10340-9⟩
The latest developments in sensor design for remote sensing and Earth observation purposes are leading to images always more complex to analyze. Low-level pixel-based processing is becoming unadapted to efficiently handle the wealth of information th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18fd363ef3c1a513b2b12def009a95a8
https://hal.archives-ouvertes.fr/hal-01961382
https://hal.archives-ouvertes.fr/hal-01961382
Autor:
Gemine Vivone, Daniele Picone, Paolo Addesso, Jocelyn Chanussot, M. Dalla Mura, Rocco Restaino, Laurent Condat
Publikováno v:
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, France. ⟨10.1109/IGARSS.2017.8127527⟩
IGARSS
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, France. ⟨10.1109/IGARSS.2017.8127527⟩
IGARSS
Variational methods are widely used in image processing for problems ranging from denoising to data fusion. In this paper we focus on a recent regularization method, called Collaborative Total Variation, applied to the hyperspectral pansharpening, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a529214a722c9eed1f281ec8ec8d8dea
https://hal.archives-ouvertes.fr/hal-01687088
https://hal.archives-ouvertes.fr/hal-01687088
Publikováno v:
IGARSS
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, France. ⟨10.1109/IGARSS.2017.8126937⟩
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2017, Fort Worth, France. ⟨10.1109/IGARSS.2017.8126937⟩
We propose to use the temporal coherence of a time series to extract using Vertex Component Analysis (VCA) the suitable set of endmembers for each scene. The reconstruction error computed on the two previous scenes for each date is used to constrain