Martin Weinmann

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	Toutes	Depuis 2016
Citations	1606	1426
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Coauteurs

Boris JutziKarlsruhe Institute of Technology (KIT)Adresse e-mail validée de kit.edu
Clément MalletIGN/UGE - LaSTIG - Head of STRUDEL teamAdresse e-mail validée de ign.fr
Michael WeinmannInstitute of Computer Science II, University of BonnAdresse e-mail validée de cs.uni-bonn.de
Jens LeitloffAcademic Staff, Karlsruhe Institute of Technology (KIT)Adresse e-mail validée de kit.edu
Uwe StillaTechnische Universitaet MuenchenAdresse e-mail validée de tum.de
Ludwig HoegnerAkademischer Rat, Technische Universitaet MuenchenAdresse e-mail validée de tum.de
Patrick HübnerKarlsruhe Institute of Technology (KIT),Adresse e-mail validée de kit.edu
Steffen UrbanCarl Zeiss AGAdresse e-mail validée de zeiss.com
Mathieu BrédifIGN, LaSTIG, GeoVISAdresse e-mail validée de ign.fr
Franz RottensteinerInstitute of Photogrammetry and GeoInformation, Leibniz Universität HannoverAdresse e-mail validée de ipi.uni-hannover.de
loic landrieuchargé de recherche, IGN/LaSTIG-STRUDELAdresse e-mail validée de ign.fr
Andreas BraunInstitut für Regionalwissenschaft, Karlsruher Institut für TechnologieAdresse e-mail validée de kit.edu
Boitumelo RufFraunhofer IOSB / Karlsruhe Institute of Technology (KIT)Adresse e-mail validée de iosb.fraunhofer.de
Kaiqiang ChenChinese Academy of SciencesAdresse e-mail validée de mails.ucas.ac.cn
André DittrichKarlsruhe Institute of Technology (KIT)Adresse e-mail validée de kit.edu
Bruno ValletIGN - LaSTIG - Head of ACTE teamAdresse e-mail validée de ign.fr
Rupert MüllerGerman Aerospace Center DLRAdresse e-mail validée de dlr.de
Aarne HoviAalto University, Department of Built EnvironmentAdresse e-mail validée de aalto.fi
Ana Djuricic (Puttonen)PhD Researcher at Vienna University of TechnologyAdresse e-mail validée de geo.tuwien.ac.at
Patrick Erik BradleyKarlsruhe Institute of TechnologyAdresse e-mail validée de kit.edu

Martin Weinmann

Karlsruhe Institute of Technology (KIT)

Adresse e-mail validée de kit.edu - Page d'accueil

Computer Vision Pattern Recognition Machine Learning Photogrammetry Remote Sensing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M Weinmann, B Jutzi, S Hinz, C Mallet ISPRS Journal of Photogrammetry and Remote Sensing, 2015	307	2015
Semantic 3D scene interpretation: a framework combining optimal neighborhood size selection with relevant features M Weinmann, B Jutzi, C Mallet ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014	126	2014
Feature relevance assessment for the semantic interpretation of 3D point cloud data M Weinmann, B Jutzi, C Mallet ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2013	102	2013
Fast and automatic image-based registration of TLS data M Weinmann, M Weinmann, S Hinz, B Jutzi ISPRS Journal of Photogrammetry and Remote Sensing 66 (6), S62-S70, 2011	87	2011
Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas M Weinmann, S Urban, S Hinz, B Jutzi, C Mallet Computers & Graphics, 2015	83	2015
Contextual classification of point cloud data by exploiting individual 3D neighborhoods M Weinmann, A Schmidt, C Mallet, S Hinz, F Rottensteiner, B Jutzi ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015	75	2015
Reconstruction and Analysis of 3D Scenes: From Irregularly Distributed 3D Points to Object Classes M Weinmann Springer, 2016	70	2016
A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds L Landrieu, H Raguet, B Vallet, C Mallet, M Weinmann ISPRS Journal of Photogrammetry and Remote Sensing 132, 102-118, 2017	57	2017
Shape distribution features for point cloud analysis - A geometric histogram approach on multiple scales R Blomley, M Weinmann, J Leitloff, B Jutzi ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014	57	2014
A classification-segmentation framework for the detection of individual trees in dense MMS point cloud data acquired in urban areas M Weinmann, M Weinmann, C Mallet, M Brédif Remote Sensing 9 (3), 277:1-277:28, 2017	51	2017
Thermal 3D mapping for object detection in dynamic scenes M Weinmann, J Leitloff, L Hoegner, B Jutzi, U Stilla, S Hinz ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014	29	2014
Analytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data A Dittrich, M Weinmann, S Hinz ISPRS Journal of Photogrammetry and Remote Sensing 126, 195-208, 2017	27	2017
Fully automatic image-based registration of unorganized TLS data M Weinmann, B Jutzi The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2011	26	2011
Weighted data fusion for UAV-borne 3D mapping with camera and line laser scanner B Jutzi, M Weinmann, J Meidow International Journal of Image and Data Fusion 5 (3), 226-243, 2014	25	2014
Finding a good feature detector-descriptor combination for the 2D keypoint-based registration of TLS point clouds S Urban, M Weinmann ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015	24	2015
Geometric features and their relevance for 3D point cloud classification M Weinmann, B Jutzi, C Mallet, M Weinmann ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017	23	2017
GEOMETRIC FEATURES AND THEIR RELEVANCE FOR 3D POINT CLOUD CLASSIFICATION B Jutzi, C Mallet, M Weinmann	23*	2017
Classification of airborne laser scanning data using geometric multi-scale features and different neighbourhood types R Blomley, B Jutzi, M Weinmann ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016	23	2016
Using multi-scale features for the 3d semantic labeling of airborne laser scanning data R Blomley, M Weinmann ISPRS Annals of the Photogrammetry, Remote Sensing & Spatial Information …, 2017	21	2017
Visual Features—From Early Concepts to Modern Computer Vision M Weinmann Advanced Topics in Computer Vision, 1-34, 2013	21	2013

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