Forskarpresentation
Julia Åhlén
Universitetslektor
Forskningsämne: Datavetenskap
E-post: julia.ahlen@hig.se
Telefon: 070-994 44 30
AKTUELL FORSKNING
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Artiklar
Vetenskapliga artiklar, refereegranskade
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
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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. 10.1080/00087041.2020.1714277
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Åhlén, J., Seipel, S. & Liu, F. (2014). Evaluation of the Automatic methods for Building Extraction. International Journal Of Computers and Communications, 8, 171-176.
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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. 10.1134/S105466180701021X
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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.
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Doktorsavhandling
Åhlén, J. (2005). Colour Correction of Underwater Images Using Spectral Data. Diss. , 2005. Uppsala: Acta Universitatis Upsaliensis. 53 s. (Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 120)
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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. 10.5593/sgem2023/2.1/s08.19
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Chandel, K., Åhlén, J. & Seipel, S. (2023). Evaluating the Tracking Abilities of Microsoft HoloLens-1 for Small-Scale Industrial Processes. .
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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. 10.5593/sgem2022/2.1/s08.16
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Ooms, K., Åhlén, J. & Seipel, S. (2018). Detecting Collapsed Buildings in Case of Disaster: Which Visualisation Works Best?. Eye Tracking for Spatial Research : Proceedings of the 3rd International Workshop. Zurich. 10.3929/ethz-b-000222480
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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). 10.5194/ica-proc-1-86-2018
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Åhlén, J. & Seipel, S. (2018). Mapping of roof types in orthophotos using feature descriptors. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : Proceedings of the International Multidisciplinary Scientific GeoConference SGEM. S. 285-291. 10.5593/sgem2018/2.2/S08.036
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Åhlén, J., Seipel, S. & Kautz, M. (2017). Data source evaluation for shoreline deliniation applications. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : Conference proceedings. S. 849-858. 10.5593/sgem2017/21/S08.108
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Åhlén, J. & Seipel, S. (2016). Segmentation of shadows and water bodies in high resolution images using ancillary data. 16th International Multidisciplinary Scientific GeoConference SGEM 2016 : SGEM2016 Conference Proceedings : Book 2. S. 827-834. 10.5593/SGEM2016/B21/S08.104
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Åhlén, J. & Seipel, S. (2015). Automatic water body extraction from remote sensing images using entropy. Proceedings of the International Multidisciplinary Scientific GeoConference SGEM. S. 517-524. 10.5593/SGEM2015/B21/S8.064
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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: IADIS Press. S. 206-214.
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Åhlén, J. & Seipel, S. (2014). Knowledge Based Single Building Extraction and Recognition. Recent Advances in Computer Engineering, Communications and Information Technology: WSEAS Press. S. 29-35.
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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. 10.5593/SGEM2014/B21/S8.112
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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.
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Åhlén, J. & Seipel, S. (2010). Early Recognition of Smoke in Digital Video. Advances in Communications, Computers, Systems, Circuits and Devices : European Conference of Systems, ECS'10, European Conference of Circuits Technology and Devices, ECCTD'10, European Conference of Communications, ECCOM'10, ECCS'10. Athens: World Scientific and Engineering Academy and Society. S. 301-306.
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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.
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Åhlén, J. & Sundgren, D. (2008). Recognition of video sequences using low frequencies and color. Advanced topics on signal processing, robotics and automation : proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA '08), Cambridge, UK, February 20-22 2008: WSEAS. S. 204-207.
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Åhlén, J. & Sundgren, D. (2008). Recognition of video signal by matching with the original video sequence. Proceedings on CD-ROM, IADIS International Conference.
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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.
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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.
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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.
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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.
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Zdravkovic, J. & Åhlén, J. (2004). Modeling Image Processing Tasks As Flexible Workflows for Improved Quality of Service. The IADIS Applied Computing. S. 363-370.
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Åhlén, J. & Bengtsson, E. (2004). On Colour Reconstruction of Underwater Images Taken in Shallow Waters. Ocean Optics XVII, Fremantle, Australia. S. 25-29.
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Åhlén, J. & Sundgren, D. (2003). Bottom Reflectance Influence on a Color Correction Algorithm for Underwater Images. Proceedings of the 13th Scandinavian Conference on Image Analysis. Berlin: Springer. S. 922-926.
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Åhlén, J. & Sundgren, D. (2003). Bottom Reflectance Influence on a Color Correction Algorithm for Underwater Images. SCIA, Scandinavian Conference on Image Analysis, Göteborg, 29 juni-2 juli. Berlin: Springer. S. 922-926.
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