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Auteur B. Luo |
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Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery / B. Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
[article]
Titre : Crop yield estimation based on unsupervised linear unmixing of multidate hyperspectral imagery Type de document : Article/Communication Auteurs : B. Luo, Auteur ; C. Yang, Auteur ; Jocelyn Chanussot, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 162 - 173 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] classification non dirigée
[Termes IGN] image hyperspectrale
[Termes IGN] image multitemporelle
[Termes IGN] rendement agricole
[Termes IGN] sorgho (céréale)Résumé : (Auteur) Hyperspectral imagery, which contains hundreds of spectral bands, has the potential to better describe the biological and chemical attributes on the plants than multispectral imagery and has been evaluated in this paper for the purpose of crop yield estimation. The spectrum of each pixel in a hyperspectral image is considered as a linear combinations of the spectra of the vegetation and the bare soil. Recently developed linear unmixing approaches are evaluated in this paper, which automatically extracts the spectra of the vegetation and bare soil from the images. The vegetation abundances are then computed based on the extracted spectra. In order to reduce the influences of this uncertainty and obtain a robust estimation results, the vegetation abundances extracted on two different dates on the same fields are then combined. The experiments are carried on the multidate hyperspectral images taken from two grain sorghum fields. The results show that the correlation coefficients between the vegetation abundances obtained by unsupervised linear unmixing approaches are as good as the results obtained by supervised methods, where the spectra of the vegetation and bare soil are measured in the laboratory. In addition, the combination of vegetation abundances extracted on different dates can improve the correlations (from 0.6 to 0.7). Numéro de notice : A2013-012 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2198826 Date de publication en ligne : 19/06/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2198826 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32150
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 1 Tome 1 (January 2013) . - pp 162 - 173[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013011A RAB Revue Centre de documentation En réserve L003 Disponible A partition-based serial algorithm for generating viewshed on massive DEMs / H. Wu in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
[article]
Titre : A partition-based serial algorithm for generating viewshed on massive DEMs Type de document : Article/Communication Auteurs : H. Wu, Auteur ; M. Pan, Auteur ; L. Yao, Auteur ; B. Luo, Auteur Année de publication : 2007 Article en page(s) : pp 955 - 964 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] algorithme géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] partitionnement par blocRésumé : (Auteur) As increasingly large-scale and higher-resolution terrain data have become available, for example air-form and space-borne sensors, the volume of these datasets reveals scalability problems with existing GIS algorithms. To address this problem, a kind of serial algorithm was developed to generate viewshed on large grid-based digital elevation models (DEMs). We first divided the whole DEM into rectangular blocks in row and column directions (called block partitioning), then processed these blocks with four axes followed by four sectors sequentially. When processing the particular block, we adopted the 'reference plane' algorithm to calculate the visibility of the target point on the block, and adjusted the calculation sequence according to the different spatial relationships between the block and the viewpoint since the viewpoint is not always inside the DEM. By adopting the 'Reference Plane' algorithm and using a block partitioning method to segment and load the DEM dynamically, it is possible to generate viewshed efficiently in PC-based environments. Experiments showed that the divided block should be dynamically loaded whole into computer main memory when partitioning, and the suggested approach retains the accuracy of the reference plane algorithm and has near linear compute complexity. Copyright Taylor & Francis Numéro de notice : A2007-551 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601034218 En ligne : https://doi.org/10.1080/13658810601034218 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28914
in International journal of geographical information science IJGIS > vol 21 n° 9-10 (october 2007) . - pp 955 - 964[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-07061 RAB Revue Centre de documentation En réserve L003 Disponible 079-07062 RAB Revue Centre de documentation En réserve L003 Disponible