Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alexandre Alakian"'
Autor:
Alexandre Alakian, Véronique Achard
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2335 (2020)
A classification method of hyperspectral reflectance images named CHRIPS (Classification of Hyperspectral Reflectance Images with Physical and Statistical criteria) is presented. This method aims at classifying each pixel from a given set of thirteen
Externí odkaz:
https://doaj.org/article/4a65d79bb70844ed85ae21273b6a00f1
Publikováno v:
IGARSS 2019
IGARSS 2019, Jul 2019, YOKOHAMA, Japan
IGARSS
IGARSS 2019, Jul 2019, YOKOHAMA, Japan
IGARSS
International audience; This work addresses the potential of multi-band polarimetric SAR imaging for terrains and vegetation classification. A classic supervised Wishart classifier is adapted to polarimetric multi-band datasets, and is applied on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c628a0f2683b30b3ad39d8b7c255cb2
https://hal.archives-ouvertes.fr/hal-02339219
https://hal.archives-ouvertes.fr/hal-02339219
Détection directe et indirecte d'une pollution aux hydrocarbures à partir d'une image hyperspectrale
Publikováno v:
PROCEEDINGS VOLUME 10790SPIE REMOTE SENSING | 10-13 SEPTEMBER 2018Earth Resources and Environmental Remote Sensing/GIS Applications IX
SPIE Remote Sensing
SPIE Remote Sensing, Sep 2018, BERLIN, Germany. ⟨10.1117/12.2325097⟩
SPIE Remote Sensing
SPIE Remote Sensing, Sep 2018, BERLIN, Germany. ⟨10.1117/12.2325097⟩
International audience; Detecting onshore hydrocarbon is a major topic for both environmental monitoring and exploration. In this work, a hyperspectral image acquired nearby an old oil extraction site is analyzed. The area of interest includes a pit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d518265509b7bde13a40a85abd9f6dd5
https://hal.archives-ouvertes.fr/hal-01969425/document
https://hal.archives-ouvertes.fr/hal-01969425/document
Publikováno v:
Remote Sensing of Environment. 113:781-793
This paper presents the retrieval method L-APOM which aims at characterizing the microphysical and optical properties of aerosol plumes from hyperspectral images with high spatial resolution. The inversion process is divided into three steps: estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4954157b7485988d7077e276db2223be
https://doi.org/10.1016/j.rse.2008.12.006
https://doi.org/10.1016/j.rse.2008.12.006
Autor:
Alexandre Alakian
Publikováno v:
SPIE Proceedings.
This paper presents an unsupervised segmentation method dedicated to vegetation scenes with decametric or metric spatial resolutions. The proposed algorithm, named SIEMS, is based on the iterative use of the Expectation–Maximization algorithm and o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6575e9060df53fd87b243f10740b1d6c
https://doi.org/10.1117/12.973705
https://doi.org/10.1117/12.973705
Publikováno v:
SPIE Proceedings.
In this paper, we propose an innovative classification method dedicated to hyperspectral images which uses both spectral information (Principal Component Analysis bands, Minimum Noise Fraction bands) and spatial information (textural features and seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fefacf8e5507c0f56e300be99b54f35d
https://doi.org/10.1117/12.898415
https://doi.org/10.1117/12.898415
Publikováno v:
WHISPERS
Several spatial features are compared for the spatial/spectral classification of hyperspectral data. These features are extracted from texture spectra, co-occurrence matrices and morphological profiles. First, a PCA (Principal Components Analysis) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ad52e5b281072d96fc066b282118f2c
https://doi.org/10.1109/whispers.2010.5594867
https://doi.org/10.1109/whispers.2010.5594867
Publikováno v:
SPIE Proceedings.
In this paper, variations with wavelength of aerosol optical properties which are optical thickness τ, single-scattering albedo ω 0 and asymmetry parameter g are modeled using polynomial functions in the case of dense biomass burning plumes in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01928104f9a5775cda082d4b6dac2f16
https://doi.org/10.1117/12.688747
https://doi.org/10.1117/12.688747
Publikováno v:
Applied Optics. 47:1851
A semianalytical model, named APOM (aerosol plume optical model) and predicting the radiative effects of aerosol plumes in the spectral range [0.4,2.5 microm], is presented in the case of nadir viewing. It is devoted to the analysis of plumes arising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5d7a45752ff64a172445ee822113502
https://doi.org/10.1364/ao.47.001851
https://doi.org/10.1364/ao.47.001851