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SVM-based unmixing-to-classification conversion for hyperspectral abundance quantification / F. Mianji in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)
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Titre : SVM-based unmixing-to-classification conversion for hyperspectral abundance quantification Type de document : Article/Communication Auteurs : F. Mianji, Auteur ; Y. Zhang, Auteur Année de publication : 2011 Article en page(s) : pp 4318 - 4327 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse infrapixellaire
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image hyperspectrale
[Termes IGN] signature spectraleRésumé : (Auteur) Need for a priori knowledge of the components comprising each pixel in a scene has set the endmember determination, rather than the endmember abundance quantification, as the primary focus of many unmixing approaches. In the absence of the information about the pure signatures present in an image scene, which is often the case, the mean spectra of the pixel vectors, directly extracted from the scene, are usually used as the pure signatures' spectra. This approach which is mathematically optimized for unmixing problems with a priori known information ignores some statistical properties of the extracted samples and leads to a suboptimal solution for real situations. This paper proposes a novel learning-based unmixing-to-classification conversion model to treat the abundance quantification task as a classification problem. Support vector machine, as an efficient classifier, is used to realize this model. It exploits the statistical nature (endmember spectral variability) of the extracted endmember representatives from the hyperspectral scene, rather than solving the problem according to the ideal model in which only the mean spectra of each training sample set is used. Several experiments are carried out on simulated and real hyperspectral images. The obtained results validate the high performance of the proposed technique in abundance quantification which is a key subpixel information detection capability. Numéro de notice : A2011-446 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2166766 Date de publication en ligne : 06/10/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2166766 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31224
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 11 Tome 1 (November 2011) . - pp 4318 - 4327[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011111A RAB Revue Centre de documentation En réserve L003 Disponible Simultaneous denoising and intrinsic order selection in hyperspectral imaging / M. Farzam in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
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Titre : Simultaneous denoising and intrinsic order selection in hyperspectral imaging Type de document : Article/Communication Auteurs : M. Farzam, Auteur ; S. Beheshti, Auteur Année de publication : 2011 Article en page(s) : pp 3423 - 3436 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] bruit atmosphérique
[Termes IGN] classification automatique
[Termes IGN] estimation de précision
[Termes IGN] filtrage du bruit
[Termes IGN] image hyperspectrale
[Termes IGN] propagation d'erreur
[Termes IGN] rapport signal sur bruitRésumé : (Auteur) In this paper, we address the problem of order selection in noisy hyperspectral applications. In conventional unmixing methods, this problem has been divided into two separate processes of order selection and unmixing. Order selection methods generally use a denoising approach at the beginning stage. The data in this case pass through three stages: denoising, order selection, and unmixing. Each of these steps mainly aims to optimize a different criterion independently. In addition, any error created in the denoising process will be propagated not only to the order selection stage but also consequently to the unmixing results. Commonly used denoising methods such as eigenvalue-decomposition-based methods, e.g., singular-value-decomposition-based methods, provide a threshold value to separate the noise from the signal. These approaches are heavily sensitive to the threshold value and signal-to-noise ratio (SNR). Moreover, these methods tend to lose their efficiency rapidly for lower SNRs. Note that both the denoising step and the dimension estimation step aim to provide the optimum estimate of the same noiseless data. Consequently, adopting a simultaneous denoising and dimension estimation method with a goal to provide the optimum estimate of the desired noiseless data is rational. This process not only avoids possible error propagations from the denoising stage to the dimension estimation stage but also unifies the optimization criteria that were used in each of these steps. In this paper, a simultaneous denoising and dimension estimation method is introduced. The approach is based on minimizing the estimated mean square error. Minimization is done by comparing the estimated data in a range of subspaces dictated by a simultaneous process. Minimizing the error at once, the proposed method denoises the data and provides the optimum dimension simultaneously. Owing to the parallel processing of denoising and dimension estimation, the simulation results show the advantages of the proposed method over some of the state-of-the-art approaches and illustrate a substantial performance, particularly for cases with a lower SNR. Numéro de notice : A2011-363 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2119400 Date de publication en ligne : 29/04/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2119400 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31142
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 9 (September 2011) . - pp 3423 - 3436[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2011091 RAB Revue Centre de documentation En réserve L003 Disponible La carte forestière version 2 à l'IFN : de la réalisation à la diffusion / Thierry Touzet in Rendez-vous techniques, n° 32 (printemps 2011)
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Titre : La carte forestière version 2 à l'IFN : de la réalisation à la diffusion Type de document : Article/Communication Auteurs : Thierry Touzet , Auteur
Année de publication : 2011 Article en page(s) : pp 26 - 30 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] BD ortho
[Termes IGN] carte de la végétation
[Termes IGN] France (administrative)
[Termes IGN] image infrarouge couleur
[Termes IGN] nomenclatureIndex. décimale : 39.30 Cartographie thématique Numéro de notice : A2011-557 Affiliation des auteurs : IFN (1958-2011) Thématique : FORET/GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74926
in Rendez-vous techniques > n° 32 (printemps 2011) . - pp 26 - 30[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-P001037 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Documents numériques
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carte forestiere version 2Adobe Acrobat PDFIn situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system / Amr Abd-Elrahman in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)
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Titre : In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system Type de document : Article/Communication Auteurs : Amr Abd-Elrahman, Auteur ; M. Croxton, Auteur ; Roshan Pande-Chhetri, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 463 - 472 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aquaculture
[Termes IGN] chlorophylle
[Termes IGN] cible cachée
[Termes IGN] étang
[Termes IGN] image hyperspectrale
[Termes IGN] qualité des eaux
[Termes IGN] turbidité des eauxRésumé : (Auteur) Knowledge of water quality parameters is integral to sustainability of freshwater aquaculture operations that raise ornamental fish. Our objective in this study is to evaluate the ability of a mobile, ground-based hyperspectral (HS) imaging sensor to determine chlorophyll-a (Chl-a) concentrations in working aquaculture ponds, which represent manipulated, shallow, nutrient-rich systems, and to determine the effect of using submerged reflectance targets on the accuracy of Chl-a estimation. We collected Chl-a measurements from aquaculture ponds ranging from 0.8 to 494 ug/L.. Chl-a measurements showed a strong correlation with two-band and three-band spectral indices computed from the HS image reflectance. Coefficient of determination (R2) values of 0.975 and 0.982 were obtained for the two- and three-band models, respectively, using spectra captured from the submerged target at 10 cm depth. Using spectra captured from water (no submerged targets), R2 values were slightly lower at 0.833 and 0.862 for two- and three-band models. Data from the submerged target at 30 cm depth had the lowest correlation with measured chlorophyll-a concentrations, potentially due to variations in water column properties and shadows cast by the platform. Modeling total Phosphorous (P) and Nitrogen (N) concentrations of the collected samples with the spectral indices sensitive to Chl-a concentrations showed a moderate level of correlation. Removing a model outlier (observation with maximum N and P concentrations) led to a significant increase in the models’ coefficient of determination (e.g. from 0.478 to 0.823 for the P model using three-band index values), which highlighted the possibility of using HS imagery to estimate N and P concentrations and the need for more research to model the interrelationships between Chl-a and nutrient concentrations in aquaculture water systems. Numéro de notice : A2011-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.02.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.02.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31077
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 4 (July - August 2011) . - pp 463 - 472[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011041 SL Revue Centre de documentation Revues en salle Disponible A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
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Titre : A multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery Type de document : Article/Communication Auteurs : X. Huang, Auteur ; L. Zhang, Auteur Année de publication : 2011 Article en page(s) : pp 721 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection du bâti
[Termes IGN] extraction automatique
[Termes IGN] image Geoeye
[Termes IGN] image multibande
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] seuillage d'image
[Termes IGN] Wuhan (Chine)Résumé : (Auteur) This study proposes a novel morphological building index (MBl) for automatic building extraction from high-resolu-tion remotely sensed imagery. The basic idea of MBl is to build a relationship between the implicit characteristics of buildings (e.g., brightness, size, and contrast) and the properties of morphological operators (e.g., reconstruction, granulometry, and directionality). Buildings are extracted by performing a threshold on the MBl feature image. Subsequently, the shape features, such as area and length width ratio, are used to refine the binary building map. In order to validate the proposed algorithm, a comparative study was performed between MBl, a recently developed texture-derived built-up presence index (PanTex), and the widely used object-based approach. Experiments were conducted on a multispectral GeoEye-1 image, covering a study area of 5.5 km by 5.3 km in Hongshan district of Wuhan, central China. In experiments, MBl achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection. The effect: of parameters of mbi were also analyzed in detail, includ-ing directions, sizes and the binaryzation threshold. Numéro de notice : A2011-314 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.7.721 En ligne : https://doi.org/10.14358/PERS.77.7.721 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31093
in Photogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 7 (July 2011) . - pp 721 - 732[article]Integration of panoramic hyperspectral imaging with terrestrial lidar data / T. Kurz in Photogrammetric record, vol 26 n° 134 (June - August 2011)
PermalinkThe application of ASTER imageries and mathematical evaluation method in detecting cyanobacteria in biological soil crust, Chadormalu area, Central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 2011)
PermalinkDétection de bateaux dans les images satellitaires optiques panchromatiques / N. Proia in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)
PermalinkA new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform / J. Saeedi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
PermalinkElectromagnetic land surface classification through integration of optical and radar remote sensing data / J. Baek in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)
PermalinkPermalinkImpervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)
PermalinkDelineation of impervious surface from multispectral imagery and lidar incorporating knowledge based expert system rules / K. Germaine in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)
PermalinkA hybrid classification scheme for mining multisource geospatial data / R. Vatsavai in Geoinformatica, vol 15 n° 1 (January 2011)
PermalinkIntégration de la géophysique et de la télédétection pour la cartographie des sols à haute résolution spatiale : exemple de la reconnaissance de paléochenaux historiques dans les marais charentais / A. Camus in Revue Française de Photogrammétrie et de Télédétection, n° 193 (Janvier 2011)
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