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est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
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Ajouter le résultat dans votre panierA pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery / L. Zhang in IEEE Transactions on geoscience and remote sensing, vol 44 n° 10 Tome 2 (October 2006)
[article]
Titre : A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery Type de document : Article/Communication Auteurs : L. Zhang, Auteur ; X. Huang, Auteur Année de publication : 2006 Article en page(s) : pp 2950 - 2961 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes indépendantes
[Termes IGN] classification dirigée
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] fusion de données
[Termes IGN] image à haute résolution
[Termes IGN] image multibande
[Termes IGN] matrice de co-occurrence
[Termes IGN] niveau de gris (image)
[Termes IGN] pixel
[Termes IGN] précision de la classification
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] reconnaissance de formes
[Termes IGN] transformation en ondelettesRésumé : (Auteur) Shape and spectra are both important features of high spatial resolution remotely sensed (HSRRS) imagery, and they are concrete manifestation of textures on such imagery. This paper presents a spatial feature index, pixel shape index (PSI), to describe the shape feature in a local area surrounding a pixel. PSI is a pixel-based feature which measures the gray similarity distance in every direction. As merely the shape feature is inadequate for classifying HSRRS imagery, a transformed spectral feature extracted by independent component analysis is added to the input vectors of our classifier, and this replaces the original multispectral bands. Meanwhile, a fast fusion algorithm that integrates both shape and spectral features using the support vector machine has been developed to interpret the complex input vectors. The results by PSI are compared with some spatial features extracted using wavelet transform, gray level co-occurrence matrix, and the length–width extraction algorithm to test its effectiveness. The experiments demonstrate that PSI is capable of describing shape features effectively and result in more accurate classifications than other methods. While it is found that spectral and shape features can complement each other and their integration can improve classification accuracy, the transformed spectral components are also found to be more suitable for classification. Copyright IEEE Numéro de notice : A2006-504 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.876704 En ligne : https://doi.org/10.1109/TGRS.2006.876704 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28228
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 10 Tome 2 (October 2006) . - pp 2950 - 2961[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-06101B RAB Revue Centre de documentation En réserve L003 Disponible Estimating volume change of mountain glaciers using SRTM and map-based topographic data / A.B. Surazakov in IEEE Transactions on geoscience and remote sensing, vol 44 n° 10 Tome 2 (October 2006)
[article]
Titre : Estimating volume change of mountain glaciers using SRTM and map-based topographic data Type de document : Article/Communication Auteurs : A.B. Surazakov, Auteur ; V. Aizen, Auteur Année de publication : 2006 Article en page(s) : pp 2991 - 2995 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Asie centrale
[Termes IGN] bande C
[Termes IGN] carte topographique
[Termes IGN] détection d'erreur
[Termes IGN] détection de changement
[Termes IGN] glace
[Termes IGN] glacier
[Termes IGN] image SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] volume (grandeur)Résumé : (Auteur) This paper describes a method for estimating the volume change of mountain glaciers using the Shuttle Radar Topography Mission (SRTM) C-band data (2000) and a digital elevation model (DEM) generated from topographic maps. This approach was developed with SRTM data and topographic maps of 1:25000 scale (1977) from the Akshiirak glaciers (Tien Shan, Central Asia). The DEM for 1977 was generated using 10-m contour lines from 18 map sheets covering the Akshiirak massif and surrounding area. The nominal vertical accuracy of the maps is 3.3 m. The standard deviation of the differences between the map-derived DEM and the SRTM data on glacier-free areas of less than 25$^circ$is 6.3 m. A single localized region in the western periphery of the study area with systematic error in the SRTM data from$-$20 to 12 m on a 30-km spatial scale was found and excluded from the error analysis. Assuming a 10-m map error on the upper snow-covered glacier areas, the estimated root-mean-square error of the glacier surface change is 8.2 m. From 1977 to 1999, the average glacier surface thinning is 15.1 m, and the estimated volume loss is 6.15$hboxkm^3$. The rate of the Akshiirak glacier volume loss has increased by 2.7 times, compared with historical data from 1943 to 1977. The SRTM data show an opportunity for quantifying climatic and dynamic surface elevation changes in mountain glaciers. Ice, Cloud, and land Elevation Satellite (ICESat) laser altimetry and SRTM data could also be used for the estimation of short-term surface changes of mountain glaciers. Copyright IEEE Numéro de notice : A2006-505 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.875357 En ligne : https://doi.org/10.1109/TGRS.2006.875357 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28229
in IEEE Transactions on geoscience and remote sensing > vol 44 n° 10 Tome 2 (October 2006) . - pp 2991 - 2995[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 065-06101B RAB Revue Centre de documentation En réserve L003 Disponible