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Adaptive subpixel mapping based on a multiagent system for remote-sensing imagery / Xiong Xu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)
[article]
Titre : Adaptive subpixel mapping based on a multiagent system for remote-sensing imagery Type de document : Article/Communication Auteurs : Xiong Xu, Auteur ; Yanfei Zhong, Auteur ; Liangpei Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 787 - 804 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] image à ultra haute résolution
[Termes IGN] système multi-agentsRésumé : (Auteur) The existence of mixed pixels is a major problem in remote-sensing image classification. Although the soft classification and spectral unmixing techniques can obtain an abundance of different classes in a pixel to solve the mixed pixel problem, the subpixel spatial attribution of the pixel will still be unknown. The subpixel mapping technique can effectively solve this problem by providing a fine-resolution map of class labels from coarser spectrally unmixed fraction images. However, most traditional subpixel mapping algorithms treat all mixed pixels as an identical type, either boundary-mixed pixel or linear subpixel, leading to incomplete and inaccurate results. To improve the subpixel mapping accuracy, this paper proposes an adaptive subpixel mapping framework based on a multiagent system for remote-sensing imagery. In the proposed multiagent subpixel mapping framework, three kinds of agents, namely, feature detection agents, subpixel mapping agents and decision agents, are designed to solve the subpixel mapping problem. Experiments with artificial images and synthetic remote-sensing images were performed to evaluate the performance of the proposed subpixel mapping algorithm in comparison with the hard classification method and other subpixel mapping algorithms: subpixel mapping based on a back-propagation neural network and the spatial attraction model. The experimental results indicate that the proposed algorithm outperforms the other two subpixel mapping algorithms in reconstructing the different structures in mixed pixels. Numéro de notice : A2014-072 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2244095 En ligne : https://doi.org/10.1109/TGRS.2013.2244095 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32977
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 2 (February 2014) . - pp 787 - 804[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery / Xiaohua Tong in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)
[article]
Titre : Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery Type de document : Article/Communication Auteurs : Xiaohua Tong, Auteur ; Xue Zhang, Auteur ; Jie Shan, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 2799 - 2814 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] affinage d'image
[Termes IGN] analyse infrapixellaire
[Termes IGN] décomposition du pixel
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] programmation linéaire
[Termes IGN] reconstruction d'imageRésumé : (Auteur) This paper presents a new subpixel mapping method based on subpixel attraction-repulsion. The proposed method is formulated as an optimization problem with respect to attraction-repulsion among subpixels and is used to reconstruct a finer spatial resolution image from a lower resolution one. A comprehensive experiment is conducted to demonstrate the performance of the proposed method, by comparing it with the other three existing subpixel mapping methods, i.e., linear optimization, pixel swapping and spatial attraction model methods. In the experiment, both a synthetic image with known fractional abundances and an EO-1 Hyperion hyperspectral image of Shanghai were used to evaluate performances of the subpixel mapping methods. The experimental result shows that by using spatial dependence with attraction between the same types of ground objects and repulsion between different types of these objects, the proposed subpixel mapping method achieves a better performance on subpixel mapping than the other three methods Numéro de notice : A2013-257 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2218612 En ligne : https://doi.org/10.1109/TGRS.2012.2218612 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32395
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 1 (May 2013) . - pp 2799 - 2814[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013051A RAB Revue Centre de documentation En réserve L003 Disponible Total variation spatial regularization for sparse hyperspectral unmixing / M. Iordache in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
[article]
Titre : Total variation spatial regularization for sparse hyperspectral unmixing Type de document : Article/Communication Auteurs : M. Iordache, Auteur ; J. Biuoucas-Dias, Auteur ; Antonio J. Plaza, Auteur Année de publication : 2012 Article en page(s) : pp 4484 - 4502 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] image hyperspectrale
[Termes IGN] information géographique
[Termes IGN] prise en compte du contexte
[Termes IGN] régressionRésumé : (Auteur) Spectral unmixing aims at estimating the fractional abundances of pure spectral signatures (also called endmembers) in each mixed pixel collected by a remote sensing hyperspectral imaging instrument. In recent work, the linear spectral unmixing problem has been approached in semisupervised fashion as a sparse regression one, under the assumption that the observed image signatures can be expressed as linear combinations of pure spectra, known a priori and available in a library. It happens, however, that sparse unmixing focuses on analyzing the hyperspectral data without incorporating spatial information. In this paper, we include the total variation (TV) regularization to the classical sparse regression formulation, thus exploiting the spatial-contextual information present in the hyperspectral images and developing a new algorithm called sparse unmixing via variable splitting augmented Lagrangian and TV. Our experimental results, conducted with both simulated and real hyperspectral data sets, indicate the potential of including spatial information (through the TV term) on sparse unmixing formulations for improved characterization of mixed pixels in hyperspectral imagery. Numéro de notice : A2012-588 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2191590 Date de publication en ligne : 07/05/2012 En ligne : https://doi.org/ 10.1109/TGRS.2012.2191590 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32034
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 11 Tome 1 (November 2012) . - pp 4484 - 4502[article]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)
[article]
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 Landsat sub-pixel analysis in mapping impact of climatic variability on prairie pothole changes / B. Zhang in Transactions in GIS, vol 13 n° 2 (April 2009)
[article]
Titre : Landsat sub-pixel analysis in mapping impact of climatic variability on prairie pothole changes Type de document : Article/Communication Auteurs : B. Zhang, Auteur ; F. Schwartz, Auteur ; D. Tong, Auteur Année de publication : 2009 Article en page(s) : pp 179 - 195 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse infrapixellaire
[Termes IGN] cartographie thématique
[Termes IGN] changement climatique
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification par arbre de décision
[Termes IGN] classification pixellaire
[Termes IGN] Dakota du Sud (Etats-Unis)
[Termes IGN] détection de changement
[Termes IGN] image Landsat
[Termes IGN] lac
[Termes IGN] sécheresse
[Termes IGN] système d'information géographique
[Termes IGN] variation saisonnière
[Termes IGN] zone humideRésumé : (Auteur) The Prairie Pothole Region in the United States contains millions of seasonal, semi-permanent, or permanent lakes and wetlands that typically range in size from 0.1 to 10 ha. These lakes and wetlands are vulnerable to climate change, especially in our study area in South Dakota, in which a period of deluge following a sharp drought considerably expanded the areal extent of prairie pothole lakes during the last decade of the twentieth century. Preliminary estimates of lake areas, determined using LANDSAT 5 and 7 images, had appreciable errors especially for the smallest of these lakes. This article describes a new sub-pixel approach integrated with a CART (Classification and Regression Tree) model using a GIS (Geographical Information System) to quantify mixed water pixels along lake boundaries to improve area estimations for pothole lakes. Errors in estimated area were typically 10% or less for lakes greater than 1 ha in size. An analysis of lakes in our study area demonstrates how lake area changed with the transition from drought to deluge. Small lakes exhibited a distinct seasonal variation in contrast to large lakes that tended to follow precipitation trends more broadly. The total water area of lakes is consistent with broad variation in rainfall. Numéro de notice : A2009-541 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2009.01149.x En ligne : https://doi.org/10.1111/j.1467-9671.2009.01149.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30170
in Transactions in GIS > vol 13 n° 2 (April 2009) . - pp 179 - 195[article]A sub-pixel location method for interest points by means of the Harris interest strength / Q. Zhu in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)PermalinkWeighting function alternatives for a subpixel allocation model / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)PermalinkDerniers développements en télédétection hyperspectrale / V. Carrere in Photo interprétation, vol 43 n° 3 (Septembre 2007)PermalinkAssessing alternatives for modelling the spatial distribution of multiple land-cover classes at sub-pixel scales / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)PermalinkIntegrating fine scale information in super-resolution land-cover mapping / A. Boucher in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)PermalinkAutomatic and precise orthorectification, coregistration, and subpixel correlation of satellite images: application to ground deformation measurements / S. Leprince in IEEE Transactions on geoscience and remote sensing, vol 45 n° 6 Tome 1 (June 2007)PermalinkLocalized soft classification for super-resolution mapping of the shoreline / Aidy M. Muslim in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)PermalinkSubpixel analysis of Landsat ETM/sup +/ using self-organizing map (SOM) neural networks for urban land cover characterization / S. Lee in IEEE Transactions on geoscience and remote sensing, vol 44 n° 6 (June 2006)PermalinkMeasurement of the left-lateral displacement of ms 8.1 Kunlun earthquake on 14 November 2001 using Landsat-7 ETM+ imagery / J.G. Liu in International Journal of Remote Sensing IJRS, vol 27 n°9-10 (May 2006)PermalinkEstimating sub-pixel surface roughness using remotely sensed stereoscopic data / A. Mushkin in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)Permalink