1.SHORTEST PATH ANALYSES IN RASTER MAPS FOR PEDESTRIAN NAVIGATION IN LOCATION BASED SYSTEMS

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2006 ;XXXVI Part 4.

出版社：Copernicus Publications

文章 ID：181186004

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2.Object-based classification of integrated multispectral and lidar data for change detection and quality control in urban areas

作　　者：V. Walter

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2005 ;XXXVI-8/W27.

出版社：Copernicus Publications

文章 ID：181186375

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3.Linking Different Geospatial Databases by Explicit Relations

作　　者：S. Volz ;V. Walter

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2004 ;XXXV Part B4:152-157.

出版社：Copernicus Publications

文章 ID：181187285

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4.Object-based Evaluation of Lidar and Multispectral Data for Automatic Change Detection in Gis Databases

作　　者：V. Walter

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2004 ;XXXV Part B2:723-728.

出版社：Copernicus Publications

文章 ID：181187850

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5.EVALUATION AND OPTIMISATION OF CROWD-BASED COLLECTION OF TREES FROM 3D POINT CLOUDS

作　　者：V. Walter ;M. Kölle ;Y. Yin

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020 ;V-4-2020:49-56.doi:10.5194/isprs-annals-V-4-2020-49-2020

出版社：Copernicus Publications

文章 ID：1034474161

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6.HYBRID ACQUISITION OF HIGH QUALITY TRAINING DATA FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUDS USING CROWD-BASED ACTIVE LEARNING

作　　者：M. Kölle ;V. Walter ;S. Schmohl 等

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020 ;V-2-2020:501-508.doi:10.5194/isprs-annals-V-2-2020-501-2020

出版社：Copernicus Publications

文章 ID：1034501188

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7.A TWO-LEVEL APPROACH FOR THE CROWD-BASED COLLECTION OF VEHICLES FROM 3D POINT CLOUDS

作　　者：V. Walter ;M. Kölle ;D. Collmar 等

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2021 ;V-4-2021:97-104.doi:10.5194/isprs-annals-V-4-2021-97-2021

出版社：Copernicus Publications

文章 ID：1034413073

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8.WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES

作　　者：M. Kölle ;D. Laupheimer ;V. Walter 等

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2021 ;V-2-2021:93-100.doi:10.5194/isprs-annals-V-2-2021-93-2021

出版社：Copernicus Publications

文章 ID：1034413145

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9.A GAMIFICATION APPROACH FOR THE IMPROVEMENT OF PAID CROWD-BASED LABELLING OF GEOSPATIAL DATA

作　　者：V. Walter ;M. Kölle ;D. Collmar

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2022 ;V-4-2022:113-120.doi:10.5194/isprs-annals-V-4-2022-113-2022

出版社：Copernicus Publications

文章 ID：1037848577

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10.LEARNING FROM THE PAST: CROWD-DRIVEN ACTIVE TRANSFER LEARNING FOR SEMANTIC SEGMENTATION OF MULTI-TEMPORAL 3D POINT CLOUDS

作　　者：M. Kölle ;V. Walter ;U. Soergel

出　　处：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2022 ;V-2-2022:259-266.doi:10.5194/isprs-annals-V-2-2022-259-2022

出版社：Copernicus Publications

文章 ID：1037850220

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