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An iterative haze optimized transformation for automatic cloud/haze detection of landsat imagery / Shuli Chen in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 5 (May 2016) . - pp 2682 - 2694 Titre : An iterative haze optimized transformation for automatic cloud/haze detection of landsat imagery Type de document : Article/Communication Auteurs : Shuli Chen, Auteur ; Xuehong Chen, Auteur ; Jin Chen, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 2682 - 2694 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classification floue [Termes IGN] détection de flou [Termes IGN] télédétection Résumé : (Auteur) Most previous haze/cloud detection methods for Landsat imagery, e.g., haze optimized transformation (HOT), cannot adequately suppress land surface information and, in particular, often overestimate haze thickness over bright surfaces. This paper proposes an iterative HOT (IHOT) for improving haze detection with the help of a corresponding clear image. With an iterative procedure of regressions among HOT, the reflectance difference at the top of atmosphere (TOA) between hazy and clear images, and TOA reflectances of hazy and clear images, the land surface information can be removed, and the iterative HOT (IHOT) result is derived to spatially characterize the haze contamination in the Landsat images. A group of Landsat images that were acquired in different landscapes and seasons were used to test IHOT. Visual comparisons indicate that IHOT performed better than previous haze detection methods for images that were acquired in diverse landscapes and also performed robustly for hazy images that were acquired at different seasons when using the same reference clear image. Additionally, two indirect quantitative validations were used to illustrate that IHOT can provide the best transformation for accurately determining haze information. Therefore, it is expected that the proposed IHOT method will be used for automatic cloud/haze detection for large numbers of Landsat images if data sets of clear Landsat imagery are available. Numéro de notice : A2016-845 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2504369 En ligne : http://dx.doi.org/10.1109/TGRS.2015.2504369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82926 [article]

Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China / Shuli Chen in International Journal of Remote Sensing IJRS, vol 26 n° 2 (January 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 2 (January 2005) . - pp 2741 - 2754 Titre : Classifying depth-layered geological structures on Landsat TM images by gravity data: a case study of the western slope of Songliao Basin, northeast China Type de document : Article/Communication Auteurs : Shuli Chen, Auteur ; Y. Zhou, Auteur Année de publication : 2005 Article en page(s) : pp 2741 - 2754 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Chine [Termes IGN] déconvolution [Termes IGN] géologie locale [Termes IGN] géologie structurale [Termes IGN] image Landsat-TM [Termes IGN] levé gravimétrique [Termes IGN] linéament [Termes IGN] structure géologique [Termes IGN] superposition de données [Termes IGN] système d'information géographique Résumé : (Auteur) Geological structures on remotely sensed images, Landsat Thematic Mapper (TM) images in this case, can be classified by quantitative depth information on the basis of the comparison of results from Landsat TM images and geophysical data. Although the lineaments with different depths can be visually interpreted together on Landsat TM images, the depth information and geological significance of these lineaments are however hard to obtain solely from the Landsat TM images of a study area under a thick cover, and it is of much importance for hydrocarbon exploration in the Western Slope Belt of Songliao Basin, northeast China. During the present study, the 3-dimensional field source information, including location and depth information, is derived from 3dimensional Euler deconvolution of gravity data in particular. As an example, it may be quantitatively classified into four groups of depth range: 1000m. It is then superimposed onto the lineaments map from Landsat TM images using a geographical information system (GIS). With a comprehensive analysis of the superimposed maps, we obtain validation and quantitative depth information of the geological structures delineated on the Landsat TM images. Four depth-layered maps of geological structures with different depths are presented here. It is concluded that the number of structures with depth greater than 1000 m on the Landsat TM images is fewer than those at the other three depth ranges. The detection of geological structures on Landsat TM images attributed to depth information derived from the geophysical data may also be possible by this approach. Numéro de notice : A2005-343 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500104210 En ligne : https://doi.org/10.1080/01431160500104210 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27479 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

vol 7 n° 3 - September - November 2003 - Special issue on selected papers from ACMGIS 2002, [actes], McLean, USA, 8 - 9 novembre 2002 (Bulletin de Geoinformatica) / Shuli Chen  

Public [n° ou bulletin]  est un bulletin de Geoinformatica (1997 -)   Titre : vol 7 n° 3 - September - November 2003 - Special issue on selected papers from ACMGIS 2002, [actes], McLean, USA, 8 - 9 novembre 2002 Type de document : Périodique Auteurs : Shuli Chen, Éditeur scientifique ; Agnès Voisard, Éditeur scientifique Année de publication : 2003 Conférence : ACM GIS 2002, 10th ACM International Symposium on Advances in Geographic Information Systems 08/11/2002 09/11/2002 McLean Virginie - Etats-Unis Selected papers Importance : 120 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique Numéro de notice : 057-0303 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique En ligne : http://link.springer.com/journal/10707/7/3/page/1 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=1810 [n° ou bulletin]

Contient

• Analysis of multi-dimensional space-filling curves / M.F. Mokbel in Geoinformatica, vol 7 n° 3 (September - November 2003)  
• Efficient estimation of qualitative topological relations based on the weighted walkthroughs model / S. Cicerone in Geoinformatica, vol 7 n° 3 (September - November 2003)  
• ICEAGE: interactive clustering and exploration of large and high-dimensional geodata / D. Guo in Geoinformatica, vol 7 n° 3 (September - November 2003)  
• A road network embedding technique for k-nearest neighbor search in moving object databases / M.R. Kolahdouzan in Geoinformatica, vol 7 n° 3 (September - November 2003)  

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-03031	RAB	Revue	Centre de documentation	En réserve L003	Disponible