Détail de l'auteur
Auteur et al. |
Documents disponibles écrits par cet auteur (2451)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Automatic registration of coastal remotely sensed imagery by affine invariant feature matching with shoreline constraint / Liang Cheng in Marine geodesy, vol 37 n° 1 (March - May 2014)
[article]
Titre : Automatic registration of coastal remotely sensed imagery by affine invariant feature matching with shoreline constraint Type de document : Article/Communication Auteurs : Liang Cheng, Auteur ; Lihua Tong, Auteur ; Yongxue Liu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 32 - 46 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement d'images
[Termes IGN] couple stéréoscopique
[Termes IGN] littoral
[Termes IGN] Ransac (algorithme)
[Termes IGN] télédétection spatiale
[Termes IGN] trait de côteRésumé : (Auteur) A new approach based on Affine Invariant Feature Matching (AIFM) with a filtering technique is proposed for automatic registration of remotely sensed image in coastal areas. The novelty of this approach is an automatic filtering technique using RANdom SAmple Consensus (RANSAC) with shoreline constraint for AIFM to remove all wrong matches and simultaneously keep as many correct matches as possible. To implement it, a progressive threshold strategy (from small value to large value) is presented to determine an appropriate RANSAC threshold, in which the progressive process is guided by shoreline constraint. The proposed approach (with filtering) is compared with standard AIFM (without filtering) using two typical image pairs in coastal areas. The experimental results indicate that the proposed approach can always provide much better matching results than standard AIFM. Numéro de notice : A2015-162 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/01490419.2013.868382 Date de publication en ligne : 02/08/2013 En ligne : https://doi.org/10.1080/01490419.2013.868382 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75849
in Marine geodesy > vol 37 n° 1 (March - May 2014) . - pp 32 - 46[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 230-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Carbon stock changes of forest land in Finland under different levels of wood use and climate change / Risto Sievänen in Annals of Forest Science, vol 71 n° 2 (March 2014)
[article]
Titre : Carbon stock changes of forest land in Finland under different levels of wood use and climate change Type de document : Article/Communication Auteurs : Risto Sievänen, Auteur ; Olli Salminen, Auteur ; Aleski Lehtonen, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 255 - 265 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative
[Termes IGN] changement climatique
[Termes IGN] Finlande
[Termes IGN] forêt boréale
[Termes IGN] puits de carbone
[Termes IGN] sylviculture
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (Auteur) Context: Prediction of the effect of harvests and climate change (CC) on the changes in carbon stock of forests is necessary both for CC mitigation and adaptation purposes. Aims: We assessed the impact of roundwood and fuelwood removals and climate change (CC) on the changes in carbon stock of Finnish forests during 2007–2042. We considered three harvest scenarios: two based on the recent projections of roundwood and fuelwood demand, and the third reflecting the maximum sustainable cutting level. We applied two climate scenarios: the climate was in the state that prevailed around year 2006, or it changed according to the IPCC SRES A1B scenario. Methods: We combined the large-scale forestry model MELA with the soil carbon model Yasso07 for mineral soils. For soils of drained, forested peatlands, we used a method based on emission factors. Results: The stock change of trees accounted for approximately 80 % of the total stock change. Trees and mineral soils acted as carbon sinks and the drained peatland soils as a carbon source. The forest carbon sink increased clearly in both of the demand-based scenarios, reaching the level of 13–20 Tg C/year (without CC). The planned increase in the use of bioenergy reduced the forest sink by 2.6 Tg C/year. CC increased the forest carbon sink in 2042 by 38 %–58 % depending on the scenario. CC decreased the sink of mineral soils in the initial years of the simulations; after 2030, the effect was slightly positive. CC increased the emissions from the drained peatland soils. Conclusions: It is likely that forest land in Finland acts as a carbon sink in the future. The changes in carbon stocks of trees, mineral soils, and peatland soils respond differently to CC and fuelwood and roundwood harvests. Numéro de notice : A2014-052 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-013-0295-7 Date de publication en ligne : 22/05/2013 En ligne : https://doi.org/10.1007/s13595-013-0295-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32957
in Annals of Forest Science > vol 71 n° 2 (March 2014) . - pp 255 - 265[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 016-2014021 SL Revue Centre de documentation Revues en salle Disponible Climate change impacts in European forests: the expert views of local observers / Peter Spathelf in Annals of Forest Science, vol 71 n° 2 (March 2014)
[article]
Titre : Climate change impacts in European forests: the expert views of local observers Type de document : Article/Communication Auteurs : Peter Spathelf, Auteur ; Ernst van der Maaten, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 131 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] changement climatique
[Termes IGN] Europe (géographie politique)
[Termes IGN] forêt
[Termes IGN] impact sur l'environnement
[Termes IGN] régionRésumé : (Auteur) [Introduction] This study presents an analysis of the diverse aspects of climate change impacts on forests in Europe based on the expert views of local observers. Local expert knowledge provides additional (often overlooked) information on climate change impacts and fills knowledge gaps for less-described European regions. Furthermore, we used expert knowledge to highlight a set of priorities for pro- and reactive forest management, taking into account differences and similarities among regions. Finally, we wanted to define “hot spots” of climate change impacts, i.e., regions, or selected tree species/stands in these regions, which are highly vulnerable and considerably exposed to negative impacts of climate change. Numéro de notice : A2014-049 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-013-0280-1 Date de publication en ligne : 05/04/2013 En ligne : https://doi.org/10.1007/s13595-013-0280-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32954
in Annals of Forest Science > vol 71 n° 2 (March 2014) . - pp 131 - 137[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 016-2014021 SL Revue Centre de documentation Revues en salle Disponible Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation / Matthew Maimaitiyiming in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
[article]
Titre : Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation Type de document : Article/Communication Auteurs : Matthew Maimaitiyiming, Auteur ; Abduwasit Ghulam, Auteur ; Tashpolat Tiyip, Auteur ; Filiberto Pla, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 59 - 66 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] changement climatique
[Termes IGN] développement durable
[Termes IGN] espace vert
[Termes IGN] image Landsat-TM
[Termes IGN] image thermique
[Termes IGN] milieu urbain
[Termes IGN] température de surfaceRésumé : (Auteur) The urban heat island (UHI) refers to the phenomenon of higher atmospheric and surface temperatures occurring in urban areas than in the surrounding rural areas. Mitigation of the UHI effects via the configuration of green spaces and sustainable design of urban environments has become an issue of increasing concern under changing climate. In this paper, the effects of the composition and configuration of green space on land surface temperatures (LST) were explored using landscape metrics including percentage of landscape (PLAND), edge density (ED) and patch density (PD). An oasis city of Aksu in Northwestern China was used as a case study. The metrics were calculated by moving window method based on a green space map derived from Landsat Thematic Mapper (TM) imagery, and LST data were retrieved from Landsat TM thermal band. A normalized mutual information measure was employed to investigate the relationship between LST and the spatial pattern of green space. The results showed that while the PLAND is the most important variable that elicits LST dynamics, spatial configuration of green space also has significant effect on LST. Though, the highest normalized mutual information measure was with the PLAND (0.71), it was found that the ED and PD combination is the most deterministic factors of LST than the unique effects of a single variable or the joint effects of PLAND and PD or PLAND and ED. Normalized mutual information measure estimations between LST and PLAND and ED, PLAND and PD and ED and PD were 0.7679, 0.7650 and 0.7832, respectively. A combination of the three factors PLAND, PD and ED explained much of the variance of LST with a normalized mutual information measure of 0.8694. Results from this study can expand our understanding of the relationship between LST and street trees and vegetation, and provide insights for sustainable urban planning and management under changing climate. Numéro de notice : A2014-125 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.12.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.12.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33030
in ISPRS Journal of photogrammetry and remote sensing > vol 89 (March 2014) . - pp 59 - 66[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Efficient, 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)
[article]
Titre : Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding Type de document : Article/Communication Auteurs : Junwei Han, Auteur ; Peicheng Zhou, Auteur ; Dingwen Zhang, Auteur ; Gong Cheng, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 37 - 48 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] apprentissage automatique
[Termes IGN] détection de cible
[Termes IGN] données localisées
[Termes IGN] image optique
[Termes IGN] matrice d'information de Fischer
[Termes IGN] modèle de simulation
[Termes IGN] reliefRésumé : (Auteur) Automatic detection of geospatial targets in cluttered scenes is a profound challenge in the field of aerial and satellite image analysis. In this paper, we propose a novel practical framework enabling efficient and simultaneous detection of multi-class geospatial targets in remote sensing images (RSI) by the integration of visual saliency modeling and the discriminative learning of sparse coding. At first, a computational saliency prediction model is built via learning a direct mapping from a variety of visual features to a ground truth set of salient objects in geospatial images manually annotated by experts. The output of this model can predict a small set of target candidate areas. Afterwards, in contrast with typical models that are trained independently for each class of targets, we train a multi-class object detector that can simultaneously localize multiple targets from multiple classes by using discriminative sparse coding. The Fisher discrimination criterion is incorporated into the learning of a dictionary, which leads to a set of discriminative sparse coding coefficients having small within-class scatter and big between-class scatter. Multi-class classification can be therefore achieved by the reconstruction error and discriminative coding coefficients. Finally, the trained multi-class object detector is applied to those target candidate areas instead of the entire image in order to classify them into various categories of target, which can significantly reduce the cost of traditional exhaustive search. Comprehensive evaluations on a satellite RSI database and comparisons with a number of state-of-the-art approaches demonstrate the effectiveness and efficiency of the proposed work. Numéro de notice : A2014-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.12.011 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.12.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33028
in ISPRS Journal of photogrammetry and remote sensing > vol 89 (March 2014) . - pp 37 - 48[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014031 RAB Revue Centre de documentation En réserve L003 Disponible In-orbit geometric calibration and validation of ZY-3 linear array sensors / Guo Zhang in Photogrammetric record, vol 29 n° 145 (March - May 2014)PermalinkNumérisation 3D de la grotte ornée des faux (Dordogne) : apport à l'archéologie et à la cartographie du champ magnétique / Pierre Grussenmeyer in XYZ, n° 138 (mars - mai 2014)PermalinkObservation à l'aide des images satellitaires Landsat TM multidates des impacts du transfert de la gestion forestière aux communautés de base : cas de la commune de Didy, région d'Alaotra-Mangoro, Madagascar / Solofoaisoa Rakotoniaina in Photo interprétation, European journal of applied remote sensing, vol 50 n° 1 (mars 2014)PermalinkA PET project from Finland / Sarang Thrombe in GPS world, vol 25 n° 3 (March 2014)PermalinkPermalinkA real-time MODIS vegetation product for land surface and numerical weather prediction models / Jonathan L. Case in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)Permalinkvol 61 n° 1 - March 2014 - Special issue on the engineering test satellite VIII [8] (ETS-VIII [8]) experiments in geostationary orbit (Bulletin de Journal of NICT [National Institute of Information and Communications Technology]) / Ministry of posts and telecommunicationsPermalinkStructural dynamic deflection measurement with range cameras / Xiaojuan Qi in Photogrammetric record, vol 29 n° 145 (March - May 2014)PermalinkLa topographie au service de la gendarmerie nationale : fixation de l'état des lieux dans un contexte criminalistique (concept et moyen) / Hervé Daudigny in XYZ, n° 138 (mars - mai 2014)PermalinkUL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification / Weiwei Sun in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)Permalink