Julia Åhlén

Universitetslektor

Forskningsämne: Datavetenskap

Forskningsområde: Geospatial informationsvetenskap

070-9944430

julia.ahlen@hig.se

Om forskaren

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Artiklar

Refereegranskat

  • Chandel, K., Åhlén, J. & Seipel, S. (2022). Augmented Reality and Indoor Positioning in Context of Smart Industry: A Review. Polish Academy of Sciences, Management and Production Engineering Review, 13 (4), (72-87). 10.24425/mper.2022.142396 [Mer information]

  • Seffers, G., Åhlén, J., Seipel, S. & Ooms, K. (2021). Assessing Damage – Can the Crowd Interpret Colour and 3D Information?. Taylor & Francis, Cartographic Journal, 58 (1), (69-82). [Mer information]

  • Åhlén, J., Seipel, S. & Liu, F. (2014). Evaluation of the Automatic methods for Building Extraction. International Journal Of Computers and Communications, 8 (), (171-176). [Mer information]

  • Åhlén, J., Sundgren, D. & Bengtsson, E. (2007). Application of underwater hyperspectral data for color correction purposes. Pattern recognition and image analysis, 17 (1), (170-173). [Mer information]

Övrigt vetenskapligt

  • Åhlén, J., Bengtsson, E. & Sundgren, D. (2006). Optimisation of Underwater Hyper Spectral Data for Colour Correction of Pseudo Hyper Spectral Images. WSEAS Transactions on Signal Processing, 2 (11), (1473-1479). [Mer information]

Doktorsavhandlingar

  • Åhlén, J. (2005). Colour Correction of Underwater Images Using Spectral Data. . Uppsala: Acta Universitatis Upsaliensis. 53 s. (Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology ) Länk [Mer information]

Konferensbidrag

  • Åhlén, J. (2023). Burned area prediction using smoke plume detection from high spatial resolution imagery. : International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. S. 145-152. [Mer information]

  • Chandel, K., Åhlén, J. & Seipel, S. (2023). Evaluating the Tracking Abilities of Microsoft HoloLens-1 for Small-Scale Industrial Processes. [Mer information]

  • Åhlén, J. (2022). Smoke and fog classification in forest monitoring using high spatial resolution images. : 22nd International Multidisciplinary Scientific GeoConference SGEM 2022, July, 2022, Albena, Bulgaria. S. 131-138. [Mer information]

  • Ooms, K., Åhlén, J. & Seipel, S. (2018). Detecting Collapsed Buildings in Case of Disaster: Which Visualisation Works Best?. : Eye Tracking for Spatial Research. Länk [Mer information]

  • Ooms, K., Åhlén, J. & Seipel, S. (2018). Efficiency and effectiveness in case of disaster: a visual damage assessment test. : Proceedings of the International Cartographic Association (Proceedings of the ICA). Länk [Mer information]

  • Åhlén, J. & Seipel, S. (2018). Mapping of roof types in orthophotos using feature descriptors. [Mer information]

  • Åhlén, J., Seipel, S. & Kautz, M. (2017). Data source evaluation for shoreline deliniation applications. [Mer information]

  • Åhlén, J. & Seipel, S. (2016). Segmentation of shadows and water bodies in high resolution images using ancillary data. [Mer information]

  • Åhlén, J. & Seipel, S. (2015). Automatic water body extraction from remote sensing images using entropy. [Mer information]

  • Lim, N., Åhlén, J. & Seipel, S. (2014). Geovisualisation of uncertainty in simulated flood maps. : Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2014, Game and Entertainment Technologies 2014 and Computer Graphics, Visualization, Computer Vision and Image Processing 2014 - Part of the Multi Conference on Computer Science and Information Systems, MCCSIS 2014. S. 206-214. Länk [Mer information]

  • Åhlén, J. & Seipel, S. (2014). Knowledge Based Single Building Extraction and Recognition. : Recent Advances in Computer Engineering, Communications and Information Technology. S. 29-35. [Mer information]

  • Åhlén, J. & Seipel, S. (2014). Time-space visualisation of Amur river channel changes due to flooding disaster. : Proceedings of the International Multidisciplinary Scientific GeoConference SGEM. S. 873-882. [Mer information]

  • Åhlén, J. & Seipel, S. (2011). Indication of Methane Gas in IR-Imagery. : Proceedings of IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2011. S. 187-192. [Mer information]

  • Åhlén, J. & Seipel, S. (2010). Early Recognition of Smoke in Digital Video. : Advances in Communications, Computers, Systems, Circuits and Devices. S. 301-306. [Mer information]

  • Åhlén, J. & Seipel, S. (2009). Prediction of Ventilation Paths in Urban Environments using Digitized Maps. : Proceedings of the IADIS International Conference Applied Computing 2009. S. 217-221. [Mer information]

  • Åhlén, J. & Sundgren, D. (2008). Recognition of video sequences using low frequencies and color. : Advanced topics on signal processing, robotics and automation. S. 204-207. [Mer information]

  • Åhlén, J. & Sundgren, D. (2008). Recognition of video signal by matching with the original video sequence. : Proceedings on CD-ROM, IADIS International Conference. [Mer information]

  • Åhlén, J., Bengtsson, E. & Sundgren, D. (2006). Evaluation of Underwater Spectral Data for Colour Correction Applications. : CSECS'06 Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing. [Mer information]

  • Åhlén, J., Sundgren, D. & Lindell, T. (2005). Dissolved Organic Matters Impact on Color Reconstruction of Underwater Images. : Proceedings of the 14th Scandinavian Conference on Image Analysis. S. 1148-1156. [Mer information]

  • Åhlén, J., Sundgren, D. & Bengtsson, E. (2005). Pre-Processing of Underwater Images Taken in Shallow Waters for Color Reconstruction Purposes. : Proceedings of the 7th IASTED International Conference on Signal and Image Processing. [Mer information]

  • Åhlén, J. (2004). Improvement of a Color Correction Algorithm for Underwater Images Through Compensating for Digital Camera Behaviour. : Proc. Swedish Symposium on Image Analysis. S. 142-145. [Mer information]

  • Zdravkovic, J. & Åhlén, J. (2004). Modeling Image Processing Tasks As Flexible Workflows for Improved Quality of Service. : The IADIS Applied Computing. S. 363-370. [Mer information]

  • Åhlén, J. & Bengtsson, E. (2004). On Colour Reconstruction of Underwater Images Taken in Shallow Waters. : Ocean Optics XVII, Fremantle, Australia. S. 25-29. [Mer information]

  • Åhlén, J. & Sundgren, D. (2003). Bottom Reflectance Influence on a Color Correction Algorithm for Underwater Images. [Mer information]

  • Åhlén, J. & Sundgren, D. (2003). Bottom Reflectance Influence on a Color Correction Algorithm for Underwater Images. [Mer information]

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Sidan uppdaterades 2024-03-26