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Subspace matching pursuit for sparse unmixing of hyperspectral data / Zhenwei Shi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 1 (June 2014)
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[article]
Titre : Subspace matching pursuit for sparse unmixing of hyperspectral data Type de document : Article/Communication Auteurs : Zhenwei Shi, Auteur ; Wei Tang, Auteur ; Zhana Duren, Auteur ; Zhiguo Jiang, Auteur Année de publication : 2014 Article en page(s) : pp 3256 - 3274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] appariement d'images
[Termes IGN] image hyperspectrale
[Termes IGN] vecteur aléatoire multidimensionnelRésumé : (Auteur) Sparse unmixing assumes that each mixed pixel in the hyperspectral image can be expressed as a linear combination of only a few spectra (endmembers) in a spectral library, known a priori. It then aims at estimating the fractional abundances of these endmembers in the scene. Unfortunately, because of the usually high correlation of the spectral library, the sparse unmixing problem still remains a great challenge. Moreover, most related work focuses on the l1 convex relaxation methods, and little attention has been paid to the use of simultaneous sparse representation via greedy algorithms (GAs) (SGA) for sparse unmixing. SGA has advantages such as that it can get an approximate solution for the l0 problem directly without smoothing the penalty term in a low computational complexity as well as exploit the spatial information of the hyperspectral data. Thus, it is necessary to explore the potential of using such algorithms for sparse unmixing. Inspired by the existing SGA methods, this paper presents a novel GA termed subspace matching pursuit (SMP) for sparse unmixing of hyperspectral data. SMP makes use of the low-degree mixed pixels in the hyperspectral image to iteratively find a subspace to reconstruct the hyperspectral data. It is proved that, under certain conditions, SMP can recover the optimal endmembers from the spectral library. Moreover, SMP can serve as a dictionary pruning algorithm. Thus, it can boost other sparse unmixing algorithms, making them more accurate and time efficient. Experimental results on both synthetic and real data demonstrate the efficacy of the proposed algorithm. Numéro de notice : A2014-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2272076 En ligne : https://doi.org/10.1109/TGRS.2013.2272076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33211
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 6 Tome 1 (June 2014) . - pp 3256 - 3274[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014061A RAB Revue Centre de documentation En réserve L003 Disponible Double constrained NMF for hyperspectral unmixing / Xiaoqiang Lu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
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Titre : Double constrained NMF for hyperspectral unmixing Type de document : Article/Communication Auteurs : Xiaoqiang Lu, Auteur ; Hao Wu, Auteur ; Yuan Yuan, Auteur Année de publication : 2014 Article en page(s) : pp 2746 - 2758 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] contrainte spectrale
[Termes IGN] factorisation
[Termes IGN] factorisation de matrice non-négative
[Termes IGN] image hyperspectraleRésumé : (Auteur) Given only the collected hyperspectral data, unmixing aims at obtaining the latent constituent materials and their corresponding fractional abundances. Recently, many nonnegative matrix factorization (NMF)-based algorithms have been developed to deal with this issue. Considering that the abundances of most materials may be sparse, the sparseness constraint is intuitively introduced into NMF. Although sparse NMF algorithms have achieved advanced performance in unmixing, the result is still susceptible to unstable decomposition and noise corruption. To reduce the aforementioned drawbacks, the structural information of the data is exploited to guide the unmixing. Since similar pixel spectra often imply similar substance constructions, clustering can explicitly characterize this similarity. Through maintaining the structural information during the unmixing, the resulting fractional abundances by the proposed algorithm can well coincide with the real distributions of constituent materials. Moreover, the additional clustering-based regularization term also lessens the interference of noise to some extent. The experimental results on synthetic and real hyperspectral data both illustrate the superiority of the proposed method compared with other state-of-the-art algorithms. Numéro de notice : A2014-263 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2265322 En ligne : https://doi.org/10.1109/TGRS.2013.2265322 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33166
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2746 - 2758[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014051A RAB Revue Centre de documentation En réserve L003 En circulation
Exclu du prêtHyperspectral image denoising with a spatial–spectral view fusion strategy / Qiangqiang Yuan in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
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Titre : Hyperspectral image denoising with a spatial–spectral view fusion strategy Type de document : Article/Communication Auteurs : Qiangqiang Yuan, Auteur ; Liangpei Zhang, Auteur ; Huanfeng Shen, Auteur Année de publication : 2014 Article en page(s) : pp 2314 - 2325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] filtrage du bruit
[Termes IGN] fusion d'images
[Termes IGN] image hyperspectrale
[Termes IGN] image spatialeRésumé : (Auteur) In this paper, we propose a hyperspectral image denoising algorithm with a Spatial-spectral view fusion strategy. The idea is to denoise a noisy hyperspectral 3-D cube using the hyperspectral total variation algorithm, but applied to both the spatial and spectral views. A metric Q-weighted fusion algorithm is then adopted to merge the denoising results of the two views together, so that the denoising result is improved. A number of experiments illustrate that the proposed approach can produce a better denoising result than both the individual spatial and spectral view denoising results. Numéro de notice : A2014-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2259245 Date de publication en ligne : 15/07/2013 En ligne : https://doi.org/10.1109/TGRS.2013.2259245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33162
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2314 - 2325[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014051A RAB Revue Centre de documentation En réserve L003 En circulation
Exclu du prêtSlow feature analysis for change detection in multispectral imagery / Chen Wu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)
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Titre : Slow feature analysis for change detection in multispectral imagery Type de document : Article/Communication Auteurs : Chen Wu, Auteur ; Bo Du, Auteur ; Liangpei Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 2858 - 2874 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de variance
[Termes IGN] détection de changement
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image multitemporelle
[Termes IGN] pixel
[Termes IGN] varianceRésumé : (Auteur) Change detection was one of the earliest and is also one of the most important applications of remote sensing technology. For multispectral images, an effective solution for the change detection problem is to exploit all the available spectral bands to detect the spectral changes. However, in practice, the temporal spectral variance makes it difficult to separate changes and nonchanges. In this paper, we propose a novel slow feature analysis (SFA) algorithm for change detection. Compared with changed pixels, the unchanged ones should be spectrally invariant and varying slowly across the multitemporal images. SFA extracts the most temporally invariant component from the multitemporal images to transform the data into a new feature space. In this feature space, the differences in the unchanged pixels are suppressed so that the changed pixels can be better separated. Three SFA change detection approaches, comprising unsupervised SFA, supervised SFA, and iterative SFA, are constructed. Experiments on two groups of real Enhanced Thematic Mapper data sets show that our proposed method performs better in detecting changes than the other state-of-the-art change detection methods. Numéro de notice : A2014-264 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2266673 En ligne : https://doi.org/10.1109/TGRS.2013.2266673 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33167
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 5 tome 1 (May 2014) . - pp 2858 - 2874[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2014051A RAB Revue Centre de documentation En réserve L003 En circulation
Exclu du prêtThe Bulger case : A spatial story / Les Roberts in Cartographic journal (the), vol 51 n° 2 (May 2014)
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Titre : The Bulger case : A spatial story Type de document : Article/Communication Auteurs : Les Roberts, Auteur Année de publication : 2014 Article en page(s) : pp 141 - 151 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] cartographie sensible
[Termes IGN] espace géographique
[Termes IGN] image vidéo
[Termes IGN] itinéraire
[Termes IGN] milieu urbain
[Termes IGN] processus cartographique
[Termes IGN] récit
[Termes IGN] réseau social
[Termes IGN] signalisation routière
[Termes IGN] signalisation touristique
[Termes IGN] vidéo numériqueRésumé : (Auteur) This paper contributes to debates in the emerging field of cinematic cartography (Caquard and Taylor, 2009) by exploring the ways in which strategies of digital cinemapping can function as tools of critical spatial practice and urban wayfinding. More specifically, the paper considers the scope for digital video technologies to reshape, contest and ‘ground’ spaces of urban representation and the ‘spatial stories’ these bring into play. Basing my analysis on the mediation of the events surrounding the abduction and murder of the 2-year-old boy James Bulger in 1993, I examine the case as a constellation of spatial narratives within which I weave my own spatial story in the form of a video mapping of the abduction route (in Bootle near Liverpool) and the responses and issues this further mediation has provoked. Methodological reflections on the map-making process are discussed alongside narratives generated by the video on YouTube. The paper argues that, by adopting practices of wayfinding, and by being critically attentive to the ways in which film and video-making practices are also spatial practices, moving image cartographies can provide insights into lived and embedded spaces of memory, and the hidden or muted spatial stories to which they play host. Numéro de notice : A2014-239 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277413Y.0000000075 En ligne : https://doi.org/10.1179/1743277413Y.0000000075 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33142
in Cartographic journal (the) > vol 51 n° 2 (May 2014) . - pp 141 - 151[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Wetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar / Lian P. Rampi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
PermalinkBayesian context-dependent learning for anomaly classification in hyperspectral imagery / Christopher Ratto in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)
PermalinkHyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)
PermalinkImpact of signal contamination on the adaptive detection performance of local hyperspectral anomalies / Stefania Matteoli in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)
PermalinkProgressive band selection of spectral unmixing for hyperspectral imagery / Chein-I Chang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)
PermalinkAbove ground biomass estimation in an African tropical forest with lidar and hyperspectral data / Gaia Vaglio Laurin in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
PermalinkAutomated geometric correction of multispectral images from high resolution CCD Camera (HRCC) on-board CBERS-2 and CBERS-2B / Chabitha Devarj in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
PermalinkEfficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding / Junwei Han in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
PermalinkSemi-automated registration of close-range hyperspectral scans using oriented digital camera imagery and a 3D model / Alessandra A. Sima in Photogrammetric record, vol 29 n° 145 (March - May 2014)
PermalinkSupervised change detection in satellite imagery using super pixels and relevance feedback / Surender Varma Gadhiraju in Geomatica, vol 68 n° 1 (March 2014)
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