Julia Åhlén

Universitetslektor

Forskningsämne: Datavetenskap

Forskningsområde: Geospatial informationsvetenskap

070-9944430

julia.ahlen@hig.se

Om forskaren

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Artiklar

Vetenskapliga artiklar, refereegranskade

  • Chandel, K., Seipel, S., Åhlén, J. & Roghe, A. (2025). Augmented Reality for PCB Component Identification and Localization. Applied Sciences, 15(11), Artikel 6331. 10.3390/app15116331 [Mer information]

  • Chandel, K., Åhlén, J. & Seipel, S. (2022). Augmented Reality and Indoor Positioning in Context of Smart Industry: A Review. 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?. 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]

Vetenskapliga artiklar, ej refereegranskade

  • 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]

Avhandlingar

  • 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. [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). [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