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III-1 - July 2016 - [actes] XXIII ISPRS Congress, Commission I, 12–19 July 2016, Prague, Czech Republic (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Lena Halounova  

Public [n° ou bulletin]  est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (2012 - )   Titre : III-1 - July 2016 - [actes] XXIII ISPRS Congress, Commission I, 12–19 July 2016, Prague, Czech Republic Type de document : Périodique Auteurs : Lena Halounova, Editeur scientifique ; V. Safar, Editeur scientifique ; Charles K. Toth, Editeur scientifique ; Jakub Karas, Editeur scientifique ; Huadong Guo, Editeur scientifique ; Norbert Haala, Editeur scientifique ; A. Habib, Editeur scientifique ; Peter Reinartz, Editeur scientifique ; X. Tang, Editeur scientifique ; J. Li, Editeur scientifique ; Costas Armenakis, Editeur scientifique ; Görres Grenzdorffer, Editeur scientifique ; P. Le Roux, Editeur scientifique ; Stratos Stylianidis, Editeur scientifique ; Reinhard Blasi, Editeur scientifique ; M. Menard, Editeur scientifique ; H. Dufourmount, Editeur scientifique ; Z. Li, Editeur scientifique Congrès : ISPRS 2016, 23th international congress (12 - 19 juillet 2016; Prague, République tchèque), Auteur Année de publication : 2016 Langues : Français (fre) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/index.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27483 [n° ou bulletin]

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• Hybrid online mobile laser scanner calibration through image alignment by mutual information / Mourad Miled in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)  
• Accuracy Validation of Large-scale Block Adjustment without Control of ZY3 Images over China / Yang Bo in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)  
• Refined satellite image orientation in the free open-source photogrammetric tools Apero/MicMac / Ewelina Rupnik in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)    

Generalized composite kernel framework for hyperspectral image classification / J. Li in IEEE Transactions on geoscience and remote sensing, vol 51 n° 9 (September 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 9 (September 2013) . - pp 4816 - 4829 Titre : Generalized composite kernel framework for hyperspectral image classification Type de document : Article/Communication Auteurs : J. Li, Auteur ; Prashanth Reddy Marpu, Auteur ; Antonio Plaza, Auteur ; José M. Bioucas-Dias, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 4816 - 4829 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] classification dirigée [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] image AVIRIS [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] image ROSIS [Termes descripteurs IGN] méthode fondée sur le noyau [Termes descripteurs IGN] régression logistique [Termes descripteurs IGN] séparateur à vaste marge Résumé : (Auteur) This paper presents a new framework for the development of generalized composite kernel machines for hyperspectral image classification. We construct a new family of generalized composite kernels which exhibit great flexibility when combining the spectral and the spatial information contained in the hyperspectral data, without any weight parameters. The classifier adopted in this work is the multinomial logistic regression, and the spatial information is modeled from extended multiattribute profiles. In order to illustrate the good performance of the proposed framework, support vector machines are also used for evaluation purposes. Our experimental results with real hyperspectral images collected by the National Aeronautics and Space Administration Jet Propulsion Laboratory's Airborne Visible/Infrared Imaging Spectrometer and the Reflective Optics Spectrographic Imaging System indicate that the proposed framework leads to state-of-the-art classification performance in complex analysis scenarios. Numéro de notice : A2013-536 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2230268 En ligne : https://doi.org/10.1109/TGRS.2012.2230268 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32673 [article]

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Automated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation / L. Jing in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 12 (December 2012) . - pp 1275 - 1284 Titre : Automated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation Type de document : Article/Communication Auteurs : L. Jing, Auteur ; B. Hu, Auteur ; J. Li, Auteur ; T. Noland, Auteur Année de publication : 2012 Article en page(s) : pp 1275 - 1284 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] analyse multiéchelle [Termes descripteurs IGN] arbre (flore) [Termes descripteurs IGN] détection automatique [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] segmentation d'image Résumé : (Auteur) A canopy height model (chm) derived from lidar data can be segmented to obtain individual tree crowns. However, branches, tree crowns, and tree clusters usually have similar shapes and overlapping sizes. This causes current individual tree crown delineation methods for CHMs to work less effectively on closed canopy deciduous or mixed wood forests consisting of various-sized tree crowns. Based on mult-scale analysis and segmentation, an innovative tree crown delineation method was developed in this study. In this method, the scale levels of target tree crowns are first morphologically determined; the CHM is filtered at the multiple scale levels; and local maxima within each filtered CHM are taken as markers to segment the original chm using the marker-controlled watershed method. After tree crown segments are selected from the multiple resulting segmentation maps and integrated together, a complete tree crown map is generated. In an experiment on natural forests in Ontario, Canada, the proposed method yielded crown maps having a good consistency with manual and visual interpretation. For instance, when compared to a manually delineated forest map, the automated method correctly delineated about 69 percent, 65 percent, and 73 percent of the tree crowns from plots of closed canopy coniferous, deciduous, and mixed wood forests, respectively. Numéro de notice : A2012-645 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1275 En ligne : https://doi.org/10.14358/PERS.78.11.1275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32091 [article]

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Edge-guided multiscale segmentation of satellite multispectral imagery / J. Chen in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 11 Tome 1 (November 2012) . - pp 4513 - 4520 Titre : Edge-guided multiscale segmentation of satellite multispectral imagery Type de document : Article/Communication Auteurs : J. Chen, Auteur ; J. Li, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 4513 - 4520 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] analyse d'image numérique [Termes descripteurs IGN] contour [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] filtre de Canny [Termes descripteurs IGN] image multibande [Termes descripteurs IGN] littoral [Termes descripteurs IGN] segmentation d'image Résumé : (Auteur) This paper presents a new approach to multiscale segmentation of satellite multispectral imagery using edge information. The Canny edge detector is applied to perform multispectral edge detection. The detected edge features are then utilized in a multiscale segmentation loop, and the merge procedure for adjacent image objects is controlled by a separability criterion that combines edge information with segmentation scale. The significance of the edge is measured by adjacent partitioned regions to perform edge assessment. The present method is based on a half-partition structure, which is composed of three steps: single edge detection, separated pixel grouping, and significant feature calculation. The spectral distance of the half-partitions separated by the edge is calculated, compared, and integrated into the edge information. The results show that the proposed approach works well on satellite multispectral images of a coastal area. Numéro de notice : A2012-590 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2194502 date de publication en ligne : 23/05/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2194502 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32036 [article]

Integration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China / J. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 935 - 946 Titre : Integration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China Type de document : Article/Communication Auteurs : J. Huang, Auteur ; Dong Lu, Auteur ; J. Li, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 935 - 946 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] carte pédologique [Termes descripteurs IGN] Chine [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] érosion [Termes descripteurs IGN] estimation statistique [Termes descripteurs IGN] forêt tropicale [Termes descripteurs IGN] gradient de pente [Termes descripteurs IGN] image Landsat-TM [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] modèle RUSLE [Termes descripteurs IGN] régression multiple [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] système d'information géographique Résumé : (Auteur) Estimation of soil loss using the Revised Universal Soil Loss Equation (rusle) has long been an active research topic, but its application in a large area is a challenge due to data availability and quality. In this study, the RUSLE model was used to evaluate soil erosion risk based on soil samples, a soil type map, digital elevation model (dem) data, and Landsat Thematic Mapper (tm) images. Multiple regression analysis was used to identify major factors influencing soil erosion risks. A regression model based on DEM-derived slope gradient and TM-derived fractional soil and vegetation images was developed to map soil erosion risk distribution in a forest ecosystem in Zhejiang, China. The developed method has the potential to quickly examine spatial distri-bution of soil erosion risks. This study provides a new insight for evaluating soil erosion risks in forest ecosystems with the integration of remote sensing and GIS. Numéro de notice : A2012-441 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.935 En ligne : https://doi.org/10.14358/PERS.78.9.935 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31887 [article]

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IconMap-based visualisation technique and its application in soil fertility analysis / X. Zhang in Cartographic journal (the), vol 49 n° 3 (August 2012)  

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Detecting water bodies on Radarsat imagery / G. Kuang in Geomatica, vol 65 n° 1 (March 2011)

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Epipolar arrangement of satellite imagery by projection trajectory simplification / M. Wang in Photogrammetric record, vol 25 n° 132 (December 2010 - February 2011)  

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A two-step displacement correction algorithm for registration of lidar point clouds and aerial images without orientation parameters / H. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 10 (October 2010)  

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An automatic mosaicking method for building facade texture mapping using a monocular close-range image sequence / Z. Kang in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 3 (May - June 2010)

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Shoreline extraction from RADARSAT-2 intensity imagery using a narrow band level set segmentation approach / Y. Shu in Marine geodesy, vol 33 n° 2-3 (April - September 2010)  

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A DEM generalization by minor valley branch detection and grid filling / Tinghua Ai in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 2 (March - April 2010)

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Automated extraction of buildings from Ikonos imagery by integrating spectral and spatial information / X. Wang in Geomatica, vol 63 n° 3 (September 2009)

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Prediction and visualization of GPS multipath signals in urban areas using LiDAR Digital Surface Models and building footprints / J. Li in International journal of geographical information science IJGIS, vol 22 n°11-12 (november 2008)

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Semi-automatic extraction of 3D lines using a scalable edge model and least-squares template matching / X. Hu in Geomatica, vol 62 n° 3 (September 2008)

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A robust biased estimator for exterior orientation of linear array pushbroom satellite imagery / Y. Zhang in Geomatica, vol 62 n° 1 (March 2008)

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Quantitative monitoring of a Saharan dust event with SEVIRI on Meteosat-8 / P. Zhang in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)

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Etude de la prolongation de la ligne A du tramway clermontois / J. Li (2007)

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Modelling and prediction of GPS availability with digital photogrammetry and LiDAR / Georges E. Taylor in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)

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Geo-information for disaster management: large scale 3D data needed by urban areas / Sisi Zlatanova in GIM international, vol 19 n° 3 (March 2005)

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A hybrid texture segmentation method for mapping urban land use / N.N. Kachouie in Geomatica, vol 58 n° 1 (March 2004)

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Satellite Altimetry for geodesy, geophysics and oceanography / C. Hwang (2004)

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Réseaux ad hoc pour l'agriculture / Jean-Pierre Chanet (2003)    

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Development of geographic information systems (GIS) in China: an overview / J. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 4 (April 2002)

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Geoid determination by FFT techniques in the western China test area / M. Vermeer (1997)

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