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Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests / Nina Amiri in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)
[article]
Titre : Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests Type de document : Article/Communication Auteurs : Nina Amiri, Auteur ; Przemyslaw Polewski, Auteur ; Marco Heurich, Auteur ; Peter Krzystek, Auteur ; Andrew K. Skidmore, Auteur Année de publication : 2018 Article en page(s) : pp 265 - 274 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Bavière (Allemagne)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier local
[Termes IGN] lasergrammétrie
[Termes IGN] Pinophyta
[Termes IGN] segmentation
[Termes IGN] semis de points
[Vedettes matières IGN] Inventaire forestierMots-clés libres : Bavarian Forest National Park Résumé : (auteur) The development of new approaches to individual tree crown delineation for forest inventory and management is an important area of ongoing research. The increasing availability of high density ALS (Airborne Laser Scanning) point clouds offers the opportunity to segment the individual tree crowns and deduce their geometric properties with a high level of accuracy. Top-down segmentation methods such as normalized cut are established approaches for delineation of single trees in ALS point clouds. However, overlapping crowns and branches of nearby trees frequently cause over- and under-segmentation due to the difficulty of defining a single criterion for stopping the partitioning process. In this work, we investigate an adaptive stopping criterion based on the visual appearance of trees within the point clouds. We focus on coniferous trees due to their well-defined crown shapes in comparison to deciduous trees. This approach is based on modeling the coniferous tree crowns with elliptic paraboloids to infer whether a given 3D scene contains exactly one or more than one tree. For each processed scene, candidate tree peaks are generated from local maxima found within the point cloud. Next, paraboloids are fitted at the peaks using a random sample consensus procedure and classified based on their geometric properties. The decision to stop or continue partitioning is determined by finding a set of non-overlapping paraboloids. Experiments were performed on three plots from the Bavarian Forest National Park in Germany. Based on validation data from the field inventory, results show that our approach improves the segmentation quality by up to 10% across plots with different properties, such as average tree height and density. This indicates that the new adaptive stopping criterion for normalized cut segmentation is capable of delineating tree crowns more accurately than a static stopping criterion based on a constant Ncut threshold value. Numéro de notice : A2018-670 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.05.006 Date de publication en ligne : 29/05/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.05.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90405
in ISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 265 - 274[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018071 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018073 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018072 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Semi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
[article]
Titre : Semi-supervised SVM for individual tree crown species classification Type de document : Article/Communication Auteurs : Michele Dalponte, Auteur ; Levi Theodor Ene, Auteur ; Mattia Marconcini, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 77 – 87 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données laser
[Termes IGN] forêt boréale
[Termes IGN] image hyperspectrale
[Termes IGN] inventaire forestier localRésumé : (auteur) In this paper a novel semi-supervised SVM classifier is presented, specifically developed for tree species classification at individual tree crown (ITC) level. In ITC tree species classification, all the pixels belonging to an ITC should have the same label. This assumption is used in the learning of the proposed semi-supervised SVM classifier (ITC-S3VM). This method exploits the information contained in the unlabeled ITC samples in order to improve the classification accuracy of a standard SVM. The ITC-S3VM method can be easily implemented using freely available software libraries. The datasets used in this study include hyperspectral imagery and laser scanning data acquired over two boreal forest areas characterized by the presence of three information classes (Pine, Spruce, and Broadleaves). The experimental results quantify the effectiveness of the proposed approach, which provides classification accuracies significantly higher (from 2% to above 27%) than those obtained by the standard supervised SVM and by a state-of-the-art semi-supervised SVM (S3VM). Particularly, by reducing the number of training samples (i.e. from 100% to 25%, and from 100% to 5% for the two datasets, respectively) the proposed method still exhibits results comparable to the ones of a supervised SVM trained with the full available training set. This property of the method makes it particularly suitable for practical forest inventory applications in which collection of in situ information can be very expensive both in terms of cost and time. Numéro de notice : A2015-894 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.10.010 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.10.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79445
in ISPRS Journal of photogrammetry and remote sensing > vol 110 (December 2015) . - pp 77 – 87[article]Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation / Przemyslaw Polewski in ISPRS Journal of photogrammetry and remote sensing, vol 105 (July 2015)
[article]
Titre : Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation Type de document : Article/Communication Auteurs : Przemyslaw Polewski, Auteur ; Wei Yao, Auteur ; Marco Heurich, Auteur ; Peter Krzystek, Auteur ; Uwe Stilla, Auteur Année de publication : 2015 Article en page(s) : pp 252 - 271 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre mort
[Termes IGN] Bavière (Allemagne)
[Termes IGN] détection automatique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inventaire forestier local
[Termes IGN] parc naturel national
[Termes IGN] semis de pointsRésumé : (auteur) Downed dead wood is regarded as an important part of forest ecosystems from an ecological perspective, which drives the need for investigating its spatial distribution. Based on several studies, Airborne Laser Scanning (ALS) has proven to be a valuable remote sensing technique for obtaining such information. This paper describes a unified approach to the detection of fallen trees from ALS point clouds based on merging short segments into whole stems using the Normalized Cut algorithm. We introduce a new method of defining the segment similarity function for the clustering procedure, where the attribute weights are learned from labeled data. Based on a relationship between Normalized Cut’s similarity function and a class of regression models, we show how to learn the similarity function by training a classifier. Furthermore, we propose using an appearance-based stopping criterion for the graph cut algorithm as an alternative to the standard Normalized Cut threshold approach. We set up a virtual fallen tree generation scheme to simulate complex forest scenarios with multiple overlapping fallen stems. This simulated data is then used as a basis to learn both the similarity function and the stopping criterion for Normalized Cut. We evaluate our approach on 5 plots from the strictly protected mixed mountain forest within the Bavarian Forest National Park using reference data obtained via a manual field inventory. The experimental results show that our method is able to detect up to 90% of fallen stems in plots having 30–40% overstory cover with a correctness exceeding 80%, even in quite complex forest scenes. Moreover, the performance for feature weights trained on simulated data is competitive with the case when the weights are calculated using a grid search on the test data, which indicates that the learned similarity function and stopping criterion can generalize well on new plots. Numéro de notice : A2015-703 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.01.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.01.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78339
in ISPRS Journal of photogrammetry and remote sensing > vol 105 (July 2015) . - pp 252 - 271[article]Land use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana / Nicolas Stach in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)
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Titre : Land use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana Type de document : Article/Communication Auteurs : Nicolas Stach , Auteur ; Anne Salvado , Auteur ; Marcel Petit, Auteur ; Jean-François Faure, Auteur ; Laurent Durieux, Auteur ; Christina Corbane, Auteur ; Pierre Joubert, Auteur ; Dominique Lasselin, Auteur ; Michel Deshayes, Auteur Année de publication : 2009 Conférence : ForestSat 2007, forests and remote sensing : methods and operational tools 05/11/2007 07/11/2007 Montpellier France Article en page(s) : pp 5133 - 5149 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] base de données d'occupation du sol
[Termes IGN] développement durable
[Termes IGN] forêt tropicale
[Termes IGN] Guyane (département français)
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier local
[Termes IGN] mosaïque d'images
[Termes IGN] occupation du sol
[Termes IGN] orthophotoplan numérique
[Termes IGN] surveillance écologique
[Termes IGN] surveillance forestière
[Termes IGN] utilisation du solRésumé : (Auteur) The new SPOT/Envisat direct receiving station (DRS) operating in Cayenne in the framework of the SEAS-Guyane project was used to produce a global cloudless SPOT mosaic over French Guiana for the year 2006. This mosaic was used to perform a land-use, land-use change and forestry (LULUCF) inventory in the framework of the Kyoto Protocol. Nearly 17 000 sample points were laid down on the SPOT mosaic with a stratified sampling design. The land use at each sample point was determined by visual interpretation of the corresponding SPOT image in 2006 and the Landsat - Thematic Mapper (TM) image from the Global Land Cover Facility (GLCF) in 1990. Statistics for the period 1990-2006 were computed and integrated in the first voluntary Kyoto inventory. Numéro de notice : A2009-379 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903022969 Date de publication en ligne : 22/09/2009 En ligne : https://doi.org/10.1080/01431160903022969 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30009
in International Journal of Remote Sensing IJRS > vol 30 n° 19 (October 2009) . - pp 5133 - 5149[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-09111 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Proceedings of the sixth Annual Forest Inventory and Analysis Symposium, 2004 September 21-24, Denver, Colorado / Ronald E. McRoberts (2004)
Titre : Proceedings of the sixth Annual Forest Inventory and Analysis Symposium, 2004 September 21-24, Denver, Colorado Type de document : Actes de congrès Auteurs : Ronald E. McRoberts, Éditeur scientifique ; Gregory A. Reams, Éditeur scientifique ; Paul C. Van Deusen, Éditeur scientifique ; William H. McWilliams, Auteur Editeur : Radnor [Etats-Unis] : United States Department of Agriculture, Forest Service Année de publication : 2004 Collection : General Technical Report num. WO-70 Conférence : FIAS 2004, 6th Annual Forest Inventory and Analysis Symposium 21/09/2004 24/09/2004 Denver Colorado - Etats-Unis OA Proceedings Importance : 126 p Langues : Anglais (eng) Descripteur : [Termes IGN] Etats-Unis
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier local
[Vedettes matières IGN] Inventaire forestierIndex. décimale : 418 Inventaires forestiers étrangers Numéro de notice : 27274 Affiliation des auteurs : non IGN Thématique : FORET Nature : Actes DOI : 10.2737/WO-GTR-70 En ligne : https://doi.org/10.2737/WO-GTR-70 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100507 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-001438 418 MCR Livre Nogent-sur-Vernisson Bibliothèque Nogent IFN Exclu du prêt Proceedings of the fifth Annual Forest Inventory and Analysis Symposium, 2003 November 18-20, New Orleans, Louisiana / Ronald E. McRoberts (2003)PermalinkProceedings of the fourth Annual Forest Inventory and Analysis Symposium, 2002 November 19-21, New Orleans, Louisiana / Ronald E. McRoberts (2002)PermalinkTélédétection spatiale et inventaires forestiers / Michelle Pain-Orcet in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 114 (Avril 1989)Permalink