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Individual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery / Yuchu Qin (2014)
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Titre : Individual tree segmentation over large areas using airborne LiDAR point cloud and very high resolution optical imagery Type de document : Article/Communication Auteurs : Yuchu Qin, Auteur ; António Ferraz , Auteur ; Clément Mallet
, Auteur ; Corina Iovan
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2014 Conférence : IGARSS 2014, International Geoscience And Remote Sensing Symposium 13/07/2014 18/07/2014 Québec Québec - Canada Proceedings IEEE Importance : pp 800 - 803 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de décalage moyen
[Termes IGN] arbre (flore)
[Termes IGN] chaîne de traitement
[Termes IGN] détection d'arbres
[Termes IGN] diamètre des arbres
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] France (administrative)
[Termes IGN] image à très haute résolution
[Termes IGN] image optique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] peuplement forestier
[Termes IGN] segmentation d'image
[Termes IGN] semis de points
[Termes IGN] Ventoux, MontRésumé : (auteur) Timely and accurate measurements of forest parameters are critical for ecosystem studies, sustainable forest resources management, monitoring and planning. This paper presents a processing chain for individual tree segmentation over large areas with airborne LiDAR 3D point cloud and very high resolution (VHR) optical imagery. The proposed processing chain consists of forest stand level delineation with optical imagery, individual tree segmentation with Canopy Height Model (CHM) derived from LiDAR point cloud, rough characterization of trees at forest stand level, and point clustering of individual tree with an Adaptive Mean Shift 3D (AMS3D) algorithm. The processing chain is developed with the expectation of supporting operational forest inventory at individual tree level. Experiment is conducted using LiDAR data acquired in Ventoux region, France. Results suggest that the proposed processing chain can be successfully adopted for individual tree characterization over large areas with different forest stands. Numéro de notice : C2014-025 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2014.6946545 Date de publication en ligne : 06/11/2014 En ligne : http://dx.doi.org/10.1109/IGARSS.2014.6946545 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92034 Documents numériques
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Individual tree segmentation ... - pdf auteurAdobe Acrobat PDF
Titre : Land applications of radar remote sensing Type de document : Monographie Auteurs : Damien Closson, Éditeur scientifique ; Francesco Holecz, Éditeur scientifique ; Paolo Pasquali, Éditeur scientifique ; et al., Auteur Editeur : London [UK] : IntechOpen Année de publication : 2014 Importance : 320 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-953-51-4233-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte forestière
[Termes IGN] déformation de la croute terrestre
[Termes IGN] détection de changement
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] occupation du sol
[Termes IGN] radargrammétrie
[Termes IGN] série temporelle
[Termes IGN] surveillance d'ouvrage
[Termes IGN] traitement d'image radarRésumé : (éditeur) The aim of this book is to demonstrate the use of SAR data in three application domains, i.e. land cover (Part II), topography (Part III), and land motion (Part IV). These are preceded by Part I, where an extensive and complete review on speckle and adaptive filtering is provided, essential for the understanding of SAR images. Part II is dedicated to land cover mapping. Part III is devoted to the generation of Digital Elevation Models based on radargrammetry and on a wise fusion (by considering sensor characteristic and acquisition geometry) of interferometric and photogrammetric elevation data. Part IV provides a contribution to three applications related to land motion. Note de contenu : 1- Adaptive speckle filtering in radar imagery
2- Large scale mapping of forests and land cover with synthetic aperture radar data
3- Estimation of cultivated areas using multi-temporal SAR data
4- Combining moderate-resolution time-series RS data from SAR and optical sources for rice crop characterisation: Examples from Bangladesh
5- Change detection and classification using high resolution SAR interferometry
6- High resolution radargrammetry – 3D terrain modeling
7- Fusion of interferometric SAR and photogrammetric elevation data
8- SAR data analysis in solid Earth geophysics: From science to risk management
9- Dikes stability monitoring versus sinkholes and subsidence, Dead Sea region, JordanNuméro de notice : 25939 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/55833 En ligne : https://doi.org/10.5772/55833 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96301 Large scale road network extraction in forested moutainous areas using airborne laser scanning data / António Ferraz (2014)
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Titre : Large scale road network extraction in forested moutainous areas using airborne laser scanning data Type de document : Article/Communication Auteurs : António Ferraz , Auteur ; Clément Mallet
, Auteur ; Nesrine Chehata
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2014 Conférence : IGARSS 2014, International Geoscience And Remote Sensing Symposium 13/07/2014 18/07/2014 Québec Québec - Canada Proceedings IEEE Importance : pp 4315 - 4318 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] apprentissage automatique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction du réseau routier
[Termes IGN] forêt alpestre
[Termes IGN] France (administrative)
[Termes IGN] montagne
[Termes IGN] processus ponctuel marqué
[Termes IGN] reconnaissance de formes
[Termes IGN] théorie des graphesRésumé : (auteur) In this work, we present an approach that is able to deal with large-scale road network mapping. While former methods focus on delineating patches of roads without computing a coherent road network, we formulate a very large number of road hypothesis that are pruned using a graph reasoning and weak a priori knowledge on road behavior. The initial solution is computed by means of two machine learning and pattern recognition state-of-the-art methods (namely, Random Forest classification and Marked Point Process) that allow to process very large areas in little time with very satisfactory results. Numéro de notice : C2014-024 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2014.6947444 Date de publication en ligne : 06/11/2014 En ligne : http://dx.doi.org/10.1109/IGARSS.2014.6947444 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92029 Documents numériques
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Large scale road network extraction... - pdf auteurAdobe Acrobat PDFLiDAR-derived surface roughness texture mapping: Application to mount St. Helens Pumice Plain deposit analysis / Patrick L. Whelley in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 2 (January 2014)
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Titre : LiDAR-derived surface roughness texture mapping: Application to mount St. Helens Pumice Plain deposit analysis Type de document : Article/Communication Auteurs : Patrick L. Whelley, Auteur Année de publication : 2014 Article en page(s) : pp 426 - 438 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] alluvion
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] montagne
[Termes IGN] plaine
[Termes IGN] rugosité du sol
[Termes IGN] Saint-Helens, Mont
[Termes IGN] semis de points
[Termes IGN] texture d'image
[Termes IGN] volcanRésumé : (Auteur) Statistical measures of patterns (textures) in surface roughness are used to quantitatively differentiate volcanic deposit facies on the Pumice Plain, on the northern flank of Mount St. Helens (MSH). Surface roughness values are derived from a Light Detection and Ranging (LiDAR) point cloud collected in 2004 from a fixed-wing airborne platform. Patterns in surface roughness are characterized using co-occurrence texture statistics. Pristine-pyroclastic, reworked-pyroclastic, mudflow, boulder beds, eroded lava flows, braided streams, and other units within the Pumice Plain are all found to have significantly distinct roughness textures. The MSH deposits are reasonably accessible, and the textural variations have been verified in the field. Results of this work indicate that by affecting the distribution of large clasts and tens-of-meter scale landforms, modification of pyroclastic deposits by lahars alters the morphology of the surface in detectable quantifiable ways. When a lahar erodes a pyroclastic deposit, surface roughness increases, as does the randomness in the deposit surface. Conversely, when a lahar deposits material, the resulting landforms are less rough but more random than pristine pumice-rich pyroclastic deposits. By mapping these relationships and others, volcanic deposit facies can be differentiated. This new method of mapping, based on roughness texture, has the potential to aid mapping efforts in more remote regions, both on this planet and elsewhere in the solar system. Numéro de notice : A2014-040 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2241443 En ligne : https://doi.org/10.1109/TGRS.2013.2241443 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32945
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 1 tome 2 (January 2014) . - pp 426 - 438[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014011B RAB Revue Centre de documentation En réserve L003 Disponible A local contrast method for small infrared target detection / C.L. Philip Chen in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 2 (January 2014)
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Titre : A local contrast method for small infrared target detection Type de document : Article/Communication Auteurs : C.L. Philip Chen, Auteur ; Hong Li, Auteur ; Yantao Wei, Auteur ; Tian Xia, Auteur ; Yuan Yan Tang, Auteur Année de publication : 2014 Article en page(s) : pp 574 - 581 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] amélioration du contraste
[Termes IGN] contraste local
[Termes IGN] détection de cible
[Termes IGN] filtrage du bruit
[Termes IGN] image infrarouge
[Termes IGN] rapport signal sur bruit
[Termes IGN] seuillage d'imageRésumé : (Auteur) Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Consequently, an effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented in this paper. At the first stage, the local contrast map of the input image is obtained using the proposed local contrast measure which measures the dissimilarity between the current location and its neighborhoods. In this way, target signal enhancement and background clutter suppression are achieved simultaneously. At the second stage, an adaptive threshold is adopted to segment the target. The experiments on two sequences have validated the detection capability of the proposed target detection method. Experimental evaluation results show that our method is simple and effective with respect to detection accuracy. In particular, the proposed method can improve the SNR of the image significantly. Numéro de notice : A2014-041 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2242477 En ligne : https://doi.org/10.1109/TGRS.2013.2242477 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32946
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 1 tome 2 (January 2014) . - pp 574 - 581[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014011B RAB Revue Centre de documentation En réserve L003 Disponible Mise à jour d’une base de données d’occupation du sol à grande échelle en milieux naturels à partir d’une image satellite THR / Adrien Gressin (2014)
PermalinkPermalinkReconstruction de modèles 3D photoréalistes de façades à partir de données image et laser terrestre / Jérôme Demantké (2014)
PermalinkRemote sensing image segmentation by combining spectral and texture features / H. Li in IEEE Transactions on geoscience and remote sensing, vol 52 n° 1 tome 1 (January 2014)
PermalinkPermalinkUnmixing polarimetric radar images based on land cover type before target decomposition / Sébastien Giordano (2014)
PermalinkPermalink3D tree reconstruction from simulated small footprint waveform lidar / Jiaying Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 12 (December 2013)
PermalinkAutomated detection of buildings from single VHR multispectral images using shadow information and graph cuts / Ali Ozgun Ok in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)
PermalinkCartes en mains contre Lili la tigresse / Françoise de Blomac in DécryptaGéo le mag, n° 152 (01/12/2013)
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