Walter, V. [2004]
GIS-Architekturen. In: Möser, Müller, Schlemmer und Werner (Hrsg): Handbuch Ingenieurgeodäsie - Raumbezogene Informationssysteme, Wichmann Verlag, Heidelberg, pp. 58-76.

Walter, Volker [1996]
Zuordnung von raumbezogenen Daten - am Beispiel von ATKIS und GDF. Deutsche Geodätische Kommission, Reihe C, Nr. 480, München 1996. 130p. (Druckversion mit allen Abbildungen).

Koelle, M.; Walter, V. & Soergel, U. [2024]
Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science.
DOI: 10.1007/s41064-024-00281-3

Walter, V.; Koelle, M. & Collmar, D. [2022]
Measuring the Wisdom of the Crowd: How Many is Enough?. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2022.
DOI: 10.1007/s41064-022-00202-2

Walter, V.& Soergel, U. [2018]
Results and Problems of paid Crowd-based geospatial Data Collection. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. pp 1-11.
DOI: 10.1007/s41064-018-0058-z

Walter, V. [2014]
A survey on state of the art of 3D Geographical Information Systems. EuroSDR Official Publication No. 64, Bundesamt für Eich- und Vermessungswesen, Vienna, Austria, 66-113.
URL: http://www.eurosdr.net/sites/default/files/uploaded_files/eurosdr_no64_a.pdf

Walter, V.; Luo, F. & Fritsch, D. [2013]
Automatic Map Retrieval and Map Interpretation in the Internet. In: Timpf, S., Laube, P., 2013: Advances in Spatial Data Handling – Geospatial Dynamics, Geosimulation and Exploratory Visualisation, Springer, New York, pp. 209-221.

Volz, S. & Walter, V. [2006]
Linking Different Geospatial Databases by Explicit Relations. Geoinformation Science Journal, Vol. 6, No. 1, 41-49.

Walter, V. [2004]
Object-wise Classification of Remote Sensing Data for Change Detection. In: C. Heipke, K. Pakzad und F. Willrich (Eds): Integration of geodata and imagery for automated refinement and update of spatial databases, ISPRS Journal of Photogrammetry & Remote Sensing, pp. 225-238.
DOI: 10.1016/j.isprsjprs.2003.09.007

Walter, V. & Fritsch, D. [1999]
Matching Spatial Data Sets: a Statistical Approach. International Journal of Geographical Information Science 13(5), pp. 445-473.

Sester, M.; Anders, K.-H. & Walter, V. [1998]
Linking Objects of Different Spatial Data Sets by Integration and Aggregation. GeoInformatica 2(4), pp. 335-358.

Walter, V. & Fritsch, D. [1996]
Integration von Strassenverkehrsdaten aus unterschiedlichen Datenmodellen. Nachrichten aus dem Karten- und Vermessungswesen, Reihe I (115), pp. 179-192.

Walter, V. [2007]
Automatic urbanity cluster detection in street vector databases with a raster-based algorithm. In: Proceedings of the 23nd international cartographic conference (ICC): Cartography for everyone and for you, 4-10 August 2007 Moscow, Russia. Moscow: International Cartographic Association (ICA), 10 p, published on CD-ROM.

Walter, V. [2002]
Classification of GIS-objects for change detection. Journal GIS - Geoinformationssysteme 14(12), Wichmann Verlag, Heidelberg, Germany, pp. 23-29.

Walter, V. [2000]
Using New Computer Aided Techniques: Can manual updating of GIS data become obsolete?. GeoInformatics No. 6, Vol. 3, September 2000, 38 - 41. 2000.

Walter, V. [1999]
Automatische Fortführung von ATKIS-DLM 25. In: Sester & Krumm (Hrsg.), GIS-Forschung im Studiengang Geodäsie und Geoinformatik, Schriftenreihe der Institute des Fachbereichs Vermessungswesen, Universität Stuttgart, Stuttgart. 1999, 90-102.

Walter, V. & Fritsch, D. [1998]
Integration von ATKIS- und GDF-Daten mit Hilfe eines relationalen Zuordnungsansatzes. Zeitschrift für Vermessungswesen (ZfV) 123(1), pp. 2-10.

Walter, V. [1998]
Geodata-based Applications in the World Wide Web. GeoInformatics 1(2), pp. 22-25.

Collmar, D.; Walter, V. & Soergel, U. [2024]
Crowd Controls Crowd: Quality Improvement of Polygon Integration in Paid Crowdsourcing. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 83–90.
DOI: 10.5194/isprs-annals-X-4-2024-83-2024

Collmar, D.; Walter, V.; Koelle, M. & Soergel, U. [2023]
FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, 159–166.
DOI: 10.5194/isprs-annals-X-1-W1-2023-159-2023

Collmar, D.; Walter, V.; Koelle, M. Soergel, U. [2023]
A Two-Step Approach for the Acquisition of Individual Tree Outlines using Paid Crowdsourcing. 43. Wissenschaftlich-Technische Jahrestagung der DGPF in München – Publikationen der DGPF, Band 31, 2023.
URL: https://www.dgpf.de/src/tagung/jt2023/proceedings/paper/09_dgpf2023_Collmar_et_al.pdf
DOI: 10.24407/KXP:1841079707

Koelle, M.; Walter, V.; Schmohl, S. & Soergel, U. [2023]
LEARNING ON THE EDGE: BENCHMARKING ACTIVE LEARNING FOR THE SEMANTIC SEGMENTATION OF ALS POINT CLOUDS. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1/W1-2023, 945–952.
DOI: 10.5194/isprs-annals-X-1-W1-2023-945-2023

Walter, V.; Koelle, M. & Collmar, D. [2022]
A Gamification Approach for the Improvement of Paid Crowd-based Labelling of Geospatial Data. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 113–120, 2022.
DOI: 10.5194/isprs-annals-V-4-2022-113-2022

Koelle, M.; Walter, V. & Soergel, U. [2022]
Learning from the Past: Crowd-driven Active Transfer Learning for Semantic Segmentation of Multi-Temporal 3D Point Clouds. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 259–266, 2022.
DOI: 10.5194/isprs-annals-V-2-2022-259-2022

Koelle, M.; Walter, V.; Schmohl, S.; Soergel U. [2021]
Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds. In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12667. Springer, Cham.
DOI: 10.1007/978-3-030-68787-8_37

Walter, V.; Koelle, M.; Collmar, D. & Zhang, Y. [2021]
A Two-Level Approach for the Crowd-Based Collection of Vehicles from 3D Point Clouds. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 97–104, 2021.
DOI: 10.5194/isprs-annals-V-4-2021-97-2021

Koelle, M.; Laupheimer, D.; Walter, V.; Haala, N. & Soergel, U. [2021]
Which 3D Data Representation Does the Crowd Like Best? Crowd-Based Active Learning for Coupled Semantic Segmentation of Point Clouds and Textured Meshes. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 93–100, 2021.
DOI: 10.5194/isprs-annals-V-2-2021-93-2021

Koelle, M.; Walter, V.; Shiller, I.; Soergel U. [2021]
CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds. In: Bauckhage C. et al. (eds) Pattern Recognition. GCPR 2021. Lecture Notes in Computer Science, vol 13024. Springer, Cham.
DOI: 10.1007/978-3-030-92659-5_41

Koelle, M.; Walter, V.; Schmohl, S. & Soergel, U. [2020]
Evaluierung der Leistungsfähigkeit der Crowd für das Labeln von 3D-Punktwolken im Kontext von Active Learning. 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart – Publikationen der DGPF, Band 29, 2020, pp. 299-311.
URL: https://www.dgpf.de/src/tagung/jt2020/proceedings/proceedings/papers/38_DGPF2020_Koelle_et_al.pdf

Koelle, M.; Walter, V.; Schmohl, S. & Soergel, U. [2020]
Hybrid Acquisition of High Quality Training Data for Segmentation of 3D Point Clouds Using Crowd-based Active Learning. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 501-508, 2020.
DOI: 10.5194/isprs-annals-V-2-2020-501-2020

Walter, V.; Koelle, M. & Yin, Y. [2020]
Evaluation and Optimisation of Crowd-based Collection of Trees from 3D Point Clouds. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 49-56, 2020.
DOI: 10.5194/isprs-annals-V-4-2020-49-2020

Yin, Y.; Koelle, M. & Walter, V. [2020]
Entwicklung und Evaluierung eines Web-Tools zur bezahlten crowd-basierten Erfassung von Bäumen aus 3D-Punktwolken. 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart – Publikationen der DGPF, Band 29, 2020, pp. 478-487.
URL: https://www.dgpf.de/src/tagung/jt2020/proceedings/proceedings/papers/71_KKNP_DGPF2020_Yin_et_al.pdf

Becker, S.; Walter, V. & Fritsch, D. [2013]
Modeling Concepts for Consistency Analysis of Multiple Representations and Heterogeneous 3D Geodata. In: V. Popovich et al. (eds.), Information Fusion and Geographic Information Systems (IF&GIS' 2013), Lecture Notes in Geoinformation and Cartography, © Springer-Verlag Berlin Heidelberg 2014.
DOI: 10.1007/978-3-642-31833-7_6

Becker, S.; Walter, V. & Fritsch, D. [2012]
Integrated Management of Heterogeneous Geodata with a Hybrid 3D Goeinformation System. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I Part 2, p. 87-92, Commission II, XXIIth ISPRS Congress 2012, Melbourne, Australia, 2012.
DOI: 10.5194/isprsannals-I-2-87-2012

Becker, S.; Walter, V., & Fritsch, D. [2012]
Integrated Management of Heterogeneous Geodata with a Hybrid 3D Goeinformation System. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I Part 2, p. 87-92, Commission II, XXIIth ISPRS Congress 2012, Melbourne, Australia, 2012.
DOI: 10.5194/isprsannals-I-2-87-2012

Walter, V.; Luo, F. [2011]
Automatic Interpretation of Digital Maps. ISPRS Journal of Photogrammetry and Remote Sensing 66(4), pp. 519-528.
DOI: 10.1016/j.isprsjprs.2011.02.010

Walter, V. [2007]
Quality Control of 3D Geospatial Data. Photogrammetric Week '07, Wichmann, Heidelberg, pp. 315-324.

Walter, V. [2005]
Phoogle the Web – Google's Approach of Spatial Data Visualisation. Photogrammetric Week '05, Wichmann, Heidelberg, pp. 321-330. Also in (GIS), 8/2005, pp. 23-28.

Walter, V. [1999]
Automated GIS data collection and update. In: D. Fritsch & R. Spiller (eds), Photogrammetric Week '99, Wichmann Verlag, Heidelberg, Germany, pp. 267-280.

Walter, V. [1997]
Photogrammetry in the internet - challenge or temporary usage. In: D. Fritsch D. Hobbie, eds, Photogrammetric Week '97, Wichmann Verlag, Heidelberg, pp. 257-269.

Walter, V. [2018]
Integration of multiple collected polygons with a raster-based approach. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 679-685.
DOI: 10.5194/isprs-archives-XLII-4-679-2018

Walter, V.; Laupheimer, D. & Fritsch, D. [2016]
Use and Optimization of Paid Crowdsourcing for the Collection of Geodata. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, pp. 253-257.
DOI: 10.5194/isprs-archives-XLI-B4-253-2016

Walter, V.; Laupheimer, D. & Fritsch, D. [2015]
Use of Paid Crowdsourcing for the Collection of Geodata. Pres. Paper, 1st ICA European Symposium on Cartography, Vienna.

Walter, V. & Fritsch, D. [2013]
Results of the EuroSDR Survey: 3D Data Management in European National Mapping and Cadastral Agencies. INSPIRE 2013 Conference, Florence, Italy. Published online.
URL: http://inspire.jrc.ec.europa.eu/events/conferences/inspire_2013/schedule/submissions/20.html

Chen, H. & Walter, V. [2010]
Hierarchical Quality Inspection of Spatial Data by Data Integration. ASPRS 2010 Annual Conference, San Diego, California (on CD-ROM).

Chen, H. & Walter, V. [2009]
Quality Inspection and Quality Improvement of Large Spatial Datasets. In: GSDI 11 World Conference: Spatial Data Infrastructure Convergence: Building SDI Bridges to Address Global Challenges, on CD-ROM.

Walter, V.; Busch, S. & Goutrié, R. [2009]
GPS Odyssey – a location based interactive city game. AGILE 2009, June 2-7, 2009, on CD-ROM.

Walter, V.; & Luo, F. [2009]
Automatic Map Interpretation. 3rd ICA Workshop on Geospatial Analysis and Modeling, August 6-7, 2009, Gävle, Sweden, on CD-ROM.

Chen, H.; Walter, V. & Fritsch, D. [2008]
Quality Inspection and Quality Improvement by Map Fusion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B2, Commission 2. ISPRS Congress 2008, Beijing, China. P. 467ff. ISSN 1682-1750.

Filippovska, Y.; Walter, V. & Fritsch, D. [2008]
Quality Evaluation of Generalization Algorithms. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B2, Commission 2. ISPRS Congress 2008, Beijing, China. P. 799ff. ISSN 1682-1750.

Walter, V. [2008]
Automatic Interpretation of Vector Databases with a Raster-Based Algorithm. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B2, Commission 2. ISPRS Congress 2008, Beijing, China. P. 175ff. ISSN 1682-1750.

Walter, V.; Kada, M. & Chen, H. [2006]
Shortest path analyses in raster maps for pedestrian navigation in location based systems. International Symposium on “Geospatial Databases for Sustainable Development”, Goa, India, ISPRS Technical Commission IV (on CDROM). Ebenfalls erschienen in GIS 7/2006, pp. 8-11.

Walter, V. [2005]
Object-based classification of integrated multispectral and LIDAR data for change detection and quality control in urban areas. In: Proceedings of the 3rd International Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), Phoenix, Arizona, on CDROM.

Volz, S. & Walter, V. [2004]
Linking Different Geospatial Databases by Explicit Relations. In: Proceedings of the XXth ISPRS Congress, Part B4, Comm. IV, Istanbul, Turkey, pp. 152-157.

Walter, V. [2004]
Object-based Evaluation of LIDAR and multispectral data for automatic change detection in GIS databases. XXth ISPRS Congress, 12-23 July 2004 Istanbul, Turkey (on CD-ROM).

Walter, V. [2002]
An Object-Wise Classification Approach. Joint International Symposium on Geospatial Theory, Processing and Applications, Ottawa, Canada.

Sester, M.; Klein, U.; Glemser, M. & Walter, V. [2000]
GIS-Möglichkeiten, Grenzen und neue Methoden. Beiträge zum internationalen Workshop: GIS-gestützte hydrologische Kartenwerke in Mitteleuropa, Bundesanstalt für Gewässerkunde Mitteilung Nr. 21, 26-36. 2000.

Walter, V. [2000]
Automatic change detection in GIS databases based on classification of multispectral data. In: IAPRS, Vol. XXXIII, Part B4/3, 1138 - 1145. Amsterdam. 2000.

Walter, V. & Fritsch, D. [2000]
Automated revision of GIS databases. In: Ki-Joune Li et. al. (Edts): Proceedings of the eight ACM symposium on advances in geographic information systems Washington, pp. 129-134. 2000.

Haala, N. & Walter, V. [1999]
Automatic classification of urban environments for database revision using lidar and color aerial imagery. In: IAPRS, Vol 32, Band 7-4-3W6, Valladolid, pp. 76-82.

Haala, N.; Walter, V. & Stätter, C. [1999]
Analysis of Multispectral and Stereo Data from Airborne Pushbroom Systems for DTM Generation and Landuse Classification. In: Fourth In-ternational Airborne Remote Sensing Conference and Exhibition, Vol. I, Ottawa, Canada, pp. 170-177.

Petzold, B. & Walter, V. [1999]
Revision of topographic databases by satellite images. In: ISPRS Workshop on Sensors and Mapping from Space 1999, Hannover.

Fritsch, D. & Walter, V. [1998]
Comparison of ATKIS and GDF structures. In: H. Kahmen, E. Brückl & T. Wunderlich (eds), Geodesy for Geotechnical and Structural Engineering, April 20-22, International Association of IAG, Geodesy - Special Commission SC4, 20, Eisenstadt, Austria, pp. 442-454.

Walter, V. [1998]
Automatic Classification of Remote Sensing Data for GIS Database Revision. In: D. Fritsch, M. Englich & M. Sester (eds), IAPRS, Vol. 32/4, ISPRS Commission IV Symposium on GIS - Between Visions and Applications, Stuttgart, Germany, pp. 641-648.

Walter, V. & Fritsch, D. [1998]
Automatic Verification of GIS Data using High Resolution Multispectral Data. In: T. Schenk & A. Habib (eds), IAPRS, Vol. 32/3, ISPRS Commission III Symposium on Object Recognition and Scene Classification from Multispectral and Multisensor Pixels, Columbus/Ohio, USA, pp. 485-490.

Walter, V.; Fritsch, D. [1997]
Matching Strategies for Integration of Spatial Data from Different Sources. In: Y. Lee Z.-L. Li, eds, 'International Workshop on Dynamic and Multi-Dimensional GIS, Aug 25-26, 1997, Hong Kong, pp. 215-228.

Walter, V. [1995]
Modellierung und Integration von Verkehrsdaten in Geo-Informationssystemen. In: '4. Internationales Anwenderforum 1995 - Geoinformationssysteme im Wandel', Siemens Nixdorf Informationssysteme AG, pp. 269-276.

Walter, V. & Fritsch, D. [1995]
Matching Techniques for Road Network Data in different Data Models. In: J. Soliman & D. Roller, Eds., '28th International Symposium on Automotive Technology and Automation', Automotive Automation Limited, Croydon, England, pp. 633-640.

Walter, V. & Fritsch, D. [1994]
Modelling and Storage of Road Network Data. AGDM '94.

Walter, V. & Fritsch, D. [1994]
GIS Data Structures for Vehicle Navigation Systems. Proceedings of the 6th Canadian Conference on GIS, Ottawa, Vol. 1, 489-501.

Fritsch, D.; Rothermel, M.; Wenzel, K.; Walter, V.; Becker, S.; Cramer, M. & Haala, N. [2013]
All About 3D Modelling – From 2.5D Meshes to 3D Virtual Reality Models. Lecture Notes, Tutorial PhoWo 2013. Institute for Photogrammetry, Univ. Stuttgart, 600p.

Fritsch, D.; Haala, N.; Walter, V.; Becker, S.; Budroni, A.; Wenzel, K.; Kosravani, A.; Milius, J. & Petters, C. [2011]
All About Point Clouds. Lecture Notes Tutorial Photogrammetric Week '11. Institute of Photogrammetry, University of Stuttgart, 280p.

Walter, V.; Busch, S. & Goutrié, R. [2009]
GPS Odyssey – ein ortsbasiertes interaktives Stadtspiel. gis.science, 1/2009, pp. 26-30.

Fritsch, D.; Cramer, M.; Haala, N.; Kada, M. & Walter, V. [2007]
Towards a Gigital Globe - Technologies, Projects and Niches. Lecture Notes, Tutorial Phowo 2007, Inst.Photogrammetrie, Univ. Stuttgart.

Fritsch, D.; Haala, N.; Kada, M. & Walter, V. [2003]
Lecture Notes. Tutorial Photogrammetric Week '03 (in D and E).

Fritsch, D.; Brenner, C.; Haala, N. & Walter, V. [1999]
Algorithms and Automation of Photogrammetric Data Processing. Lecture Notes Tutorial, 47. Photogrammetric Week, Technical report, Institute for Photogrammetry, Stuttgart.

Fritsch, D.; Glemser, M.; Hahn, M.; Sester, M. & Walter, V. [1995]
Tutorial Geographic Information Systems '95. Institut für Photogrammetrie, 300 p.