Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Paul Gader"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9439-9456 (2022)
Heterogeneous data fusion can enhance the robustness and accuracy of an algorithm on a given task. However, due to the difference in various modalities, aligning the sensors and embedding their information into discriminative and compact representati
Externí odkaz:
https://doaj.org/article/5732923759304720b8bf295d4f986544
Autor:
Sivert Bakken, Marie B. Henriksen, Roger Birkeland, Dennis D. Langer, Adriënne E. Oudijk, Simen Berg, Yeshi Pursley, Joseph L. Garrett, Fredrik Gran-Jansen, Evelyn Honoré-Livermore, Mariusz E. Grøtte, Bjørn A. Kristiansen, Milica Orlandic, Paul Gader, Asgeir J. Sørensen, Fred Sigernes, Geir Johnsen, Tor A. Johansen
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 755 (2023)
The HYPSO-1 satellite, a 6U CubeSat carrying a hyperspectral imager, was launched on 13 January 2022, with the Goal of imaging ocean color in support of marine research. This article describes the development and current status of the mission and pay
Externí odkaz:
https://doaj.org/article/92fd7c9235ea4c8da27e54ca88b4a4f7
Publikováno v:
PeerJ, Vol 7, p e6405 (2019)
Tree species classification using hyperspectral imagery is a challenging task due to the high spectral similarity between species and large intra-species variability. This paper proposes a solution using the Multiple Instance Adaptive Cosine Estimato
Externí odkaz:
https://doaj.org/article/783588ab9ecd40d39338993fd0ed7bad
Autor:
Aditya Dutt, Paul Gader
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31:2043-2054
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e315be0d75aaf814fdfda520144f92d
https://doi.org/10.1109/taslp.2023.3277291
https://doi.org/10.1109/taslp.2023.3277291
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d996b8f717bea51688261d515bcc04c0
https://doi.org/10.1109/lgrs.2021.3136569
https://doi.org/10.1109/lgrs.2021.3136569
Autor:
Yuanhang Lin, Paul Gader
Publikováno v:
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19c12fa81798886bfa96d770cca82f6a
https://doi.org/10.1109/whispers56178.2022.9955093
https://doi.org/10.1109/whispers56178.2022.9955093
Autor:
Alexander R. Webber, Simon R. Phillpot, Duy T. Nguyen, Eric O. McGhee, W. Gregory Sawyer, Paul Gader
Publikováno v:
SIGSIM Conference on Principles of Advanced Discrete Simulation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7b35763e952b9742293b05ba628f2fd
https://doi.org/10.1145/3518997.3534990
https://doi.org/10.1145/3518997.3534990
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, 2014, 7 (6), pp.1841-1843. ⟨10.1109/JSTARS.2014.2341811⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2014, 7 (6), pp.1841-1843. ⟨10.1109/JSTARS.2014.2341811⟩
International audience; The seventy-four articles in this special issue present state-of-the-art algorithms and applications for hyperspectral image and signal processing. Algorithms address topics such as spectral unmixing, classification, target an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac001a67e27cb802cec343256f8e05c
https://hal.univ-grenoble-alpes.fr/hal-01128441
https://hal.univ-grenoble-alpes.fr/hal-01128441
Publikováno v:
AIP Conference Proceedings.
A Gibbs sampler for piece‐wise convex hyperspectral unmixing and endmember detection is presented. The standard linear mixing model used for hyperspectral unmixing assumes that hyperspectral data reside in a single convex region. However, hyperspec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9fbd99455b9e75a88449b1fb12180fb
https://doi.org/10.1063/1.3573631
https://doi.org/10.1063/1.3573631
Autor:
Paul Gader, Brian Forester, Margaret Ganzberger, Andrew Gillies, Brian Mitchell, Michael Whalen, Todd Yocum
Publikováno v:
Pattern Recognition. 24:421-431
A pipeline strategy for handwritten numeral recognition that combines a two-stage template-based technique and a model-based technique is described. The template matcher combines multiple information sources. The second stage of the template matcher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3d41bd6c630a975af17462a2a77152
https://doi.org/10.1016/0031-3203(91)90055-a
https://doi.org/10.1016/0031-3203(91)90055-a