Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Myndvinnsla"'
Autor:
Nguyen, Han Van
Optical remote sensing (RS) uses optical sensors to create images of the Earth's surface. Those imaging sensors are mounted on spaceborne or airborne vehicles and capture visible, near-infrared, and shortwave infrared radiation reflected from the Ear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3712::14c1f9a216fd633a718a731995c41a58
https://hdl.handle.net/20.500.11815/3725
https://hdl.handle.net/20.500.11815/3725
Autor:
Zhao, Bin
Hyperspectral images (HSIs) acquired by hyperspectral imaging sensors contain hundreds of spectral bands. The abundant spectral information provided by an HSI makes it possible to discriminate different materials in a scene. Therefore, HSIs have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3712::dff0642164d8d81a3fc4a83dfce64390
https://hdl.handle.net/20.500.11815/2726
https://hdl.handle.net/20.500.11815/2726
Autor:
Atlason, Hans
Magnetic resonance images (MRIs) enable neuroradiologists to investigate the human brain to look for possible causes of disease. The clinical interpretation of these images is, however, mostly limited to subjective assessment or a rough measurement o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3712::88466747adeb6719a4bc554da4f9c74d
https://hdl.handle.net/20.500.11815/2746
https://hdl.handle.net/20.500.11815/2746
Autor:
Jocelyn Chanussot, Giorgio Licciardi
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 375-390 (2018)
European Journal of Remote Sensing
European Journal of Remote Sensing, Taylor & Francis, 2018, 51 (1), pp.375-390. ⟨10.1080/22797254.2018.1441670⟩
European Journal of Remote Sensing
European Journal of Remote Sensing, Taylor & Francis, 2018, 51 (1), pp.375-390. ⟨10.1080/22797254.2018.1441670⟩
Publisher's version (útgefin grein)
Managing transmission and storage of hyperspectral (HS) images can be extremely difficult. Thus, the dimensionality reduction of HS data becomes necessary. Among several dimensionality reduction techniques, t
Managing transmission and storage of hyperspectral (HS) images can be extremely difficult. Thus, the dimensionality reduction of HS data becomes necessary. Among several dimensionality reduction techniques, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e5d892ca760a25189f0b656ddf77ebc
https://doaj.org/article/c33b80eb7b6b461b8092c99971cd2562
https://doaj.org/article/c33b80eb7b6b461b8092c99971cd2562
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 55:4925-4943
We present, in this paper, a new methodology for spectral unmixing, where a vector of fractions, corresponding to a set of endmembers (EMs), is estimated for each pixel in the image. The process first provides an initial estimate of the fraction vect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b4ca9cb9f06f345dc302a8d72c3e56d
https://doi.org/10.1109/tgrs.2017.2692999
https://doi.org/10.1109/tgrs.2017.2692999
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2018, 29 (11), pp.2582-2598. ⟨10.1109/TPDS.2018.2829724⟩
IEEE transactions on parallel and distributed systems 29(11), 2582-(2018). doi:10.1109/TPDS.2018.2829724
IEEE Transactions on Parallel and Distributed Systems, Institute of Electrical and Electronics Engineers, 2018, 29 (11), pp.2582-2598. ⟨10.1109/TPDS.2018.2829724⟩
IEEE transactions on parallel and distributed systems 29(11), 2582-(2018). doi:10.1109/TPDS.2018.2829724
Publisher's version (útgefin grein)
Component trees are region-based representations that encode the inclusion relationship of the threshold sets of an image. These representations are one of the most promising strategies for the analysis and t
Component trees are region-based representations that encode the inclusion relationship of the threshold sets of an image. These representations are one of the most promising strategies for the analysis and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::539c579557e3c55b1430fff2253db140
https://hal.archives-ouvertes.fr/hal-02181876/file/article.final.pdf
https://hal.archives-ouvertes.fr/hal-02181876/file/article.final.pdf
Publikováno v:
Remote Sensing, Vol 10, Iss 5, p 737 (2018)
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (5), pp.737. ⟨10.3390/rs10050737⟩
Remote Sensing; Volume 10; Issue 5; Pages: 737
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (5), pp.737. ⟨10.3390/rs10050737⟩
Remote Sensing; Volume 10; Issue 5; Pages: 737
Publisher's version (útgefin grein)
We propose to replace traditional spectral index methods by unsupervised spectral unmixing methods for the exploration of large datasets of planetary hyperspectral images. The main goal of this article is to
We propose to replace traditional spectral index methods by unsupervised spectral unmixing methods for the exploration of large datasets of planetary hyperspectral images. The main goal of this article is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::213a7a1d69ea8528f8ecce8202264e29
http://www.mdpi.com/2072-4292/10/5/737
http://www.mdpi.com/2072-4292/10/5/737
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (3), pp.482. ⟨10.3390/rs10030482⟩
Remote Sensing, Vol 10, Iss 3, p 482 (2018)
Remote sensing
Remote Sensing; Volume 10; Issue 3; Pages: 482
Remote Sensing, MDPI, 2018, 10 (3), pp.482. ⟨10.3390/rs10030482⟩
Remote Sensing, Vol 10, Iss 3, p 482 (2018)
Remote sensing
Remote Sensing; Volume 10; Issue 3; Pages: 482
Publisher's version (útgefin grein)
Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by
Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44debadc2d26eecb35ebc21a33637287
https://elib.dlr.de/119958/
https://elib.dlr.de/119958/
Publikováno v:
Remote Sensing
Volume 10
Issue 3
Pages: 472
Remote Sensing, Vol 10, Iss 3, p 472 (2018)
Volume 10
Issue 3
Pages: 472
Remote Sensing, Vol 10, Iss 3, p 472 (2018)
In recent decades, land cover change detection (LCCD) using very high-spatial resolution (VHR) remote sensing images has been a major research topic. However, VHR remote sensing images usually lead to a large amount of noises in spectra, thereby redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d10e7652ba000ace90c08b42c849b594
Publikováno v:
IEEE Access, Vol 6, Pp 1380-1390 (2018)
Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df2c5dbe112ccec9cb9ab17ea8e56e1c
https://hdl.handle.net/20.500.11815/821
https://hdl.handle.net/20.500.11815/821