Dr. Ruedi Bösch
Funktion
Wissenschaftlicher Mitarbeiter
Kontakt
Eidg. Forschungsanstalt WSL
Zürcherstrasse 111
8903 Birmensdorf
Standort
Birmensdorf Bi HP C 70
Research interests
Computer vision: image segmentation of vegetation data, historic maps, performance evaluation of segmentation methods
Feature extraction: non-rigid shape matching with custom models, model-based fitting in point clouds (LiDAR,TLS)
Classification: audio signals of bat species, landcover types
Stereo matching: evaluation and optimization of matching methods
Grouping: converting sampled point data to connected vegetation areas (alfa shapes, triangulation)
Software development: faster, robuster processing with C++, GPU with CUDA,OpenCL
FURTHER INFORMATION
Publications WSL
Scientific publication article peer reviewed
Abegg, M.; Boesch, R.; Schaepman, M.E.; Morsdorf, F., 2020: Impact of beam diameter and scanning approach on point cloud quality of terrestrial laser scanning in forests. IEEE Transactions on Geoscience and Remote Sensing, 1-15. doi: 10.1109/TGRS.2020.3037763
Bolliger, J.; Hennet, T.; Wermelinger, B.; Bösch, R.; Pazur, R.; Blum, S.; Haller, J.; Obrist, M.K., 2020: Effects of traffic-regulated street lighting on nocturnal insect abundance and bat activity. Basic and Applied Ecology, 47: 44-56. doi: 10.1016/j.baae.2020.06.003
Ginzler, C.; Price, B.; Bösch, R.; Fischer, C.; Hobi, M.L.; Psomas, A.; Rehush, N.; Wang, Z.; Waser, L.T., 2019: Area-wide products. In: Fischer, C.; Traub, B. (eds), 2019: Swiss National Forest Inventory – Methods and models of the fourth assessment. Cham, Springer. 125-142. doi: 10.1007/978-3-030-19293-8_7
Boesch, R.; Graf, C., 2019: Mass movements of an alpine rock glacier. In: Vosselman, G.; Oude Elberink, S.J.; Yang, M.Y. (eds), 2019: ISPRS Geospatial Week 2019. ISPRS Geospatial Week 2019, Enschede, The Netherlands. 215-219. doi: 10.5194/isprs-archives-XLII-2-W13-215-2019
Kolyaie, S.; Treier, U.A.; Watmough, G.R.; Madsen, B.; Bøcher, P.K.; Psomas, A.; Bösch, R.; Normand, S., 2019: Transferability and the effect of colour calibration during multi-image classification of Arctic vegetation change. Polar Biology, 42, 7: 1227-1239. doi: 10.1007/s00300-019-02491-7
Obrist, M.K.; Boesch, R., 2018: BatScope manages acoustic recordings, analyses calls, and classifies bat species automatically. Canadian Journal of Zoology, 96, 9: 939-954. doi: 10.1139/cjz-2017-0103
Boesch, R., 2017: Thermal remote sensing with UAV-based workflows. In: Stachniss, C.; Förstner, W.; Schneider, J. (eds), 2017: The international archives of the photogrammetry, remote sensing and spatial information sciences. International conference on unmanned aerial vehicles in geomatics, Bonn, Germany. 41-46. doi: 10.5194/isprs-archives-XLII-2-W6-41-2017
Waser, L.T.; Boesch, R.; Wang, Z.; Ginzler, C., 2017: Towards automated forest mapping. In: Remmel, T.K.; Perera, A.H. (eds), 2017: Mapping forest landscape patterns. New York, Springer. 263-304. doi: 10.1007/978-1-4939-7331-6_7
Gindraux, S.; Boesch, R.; Farinotti, D., 2017: Accuracy assessment of digital surface models from unmanned aerial vehicles' imagery on glaciers. Remote Sensing, 9, 2: 186 (15 pp.). doi: 10.3390/rs9020186
Bühler, Y.; Adams, M.S.; Stoffel, A.; Boesch, R., 2017: Photogrammetric reconstruction of homogenous snow surfaces in alpine terrain applying near-infrared UAS imagery. International Journal for Remote Sensing, 38, 8-10: 3135-3158. doi: 10.1080/01431161.2016.1275060
Bühler, Y.; Adams, M.S.; Bösch, R.; Stoffel, A., 2016: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations. Cryosphere, 10, 3: 1075-1088. doi: 10.5194/tc-10-1075-2016
Boesch, R.; Bühler, Y.; Marty, M.; ... Ginzler, C., 2016: Comparison of digital surface models for snow depth mapping with UAV and aerial cameras. In: Halounova, L.; Šafář, V.; Raju, P.L.N.; Plánka, L.; Ždímal, V.; Srinivasa Kumar, T.; Faruque, F.S.; Kerr, Y.; Ramasamy, S.M.; Comiso, J.; (Yousif) Hussin, Y.A.; ... Thenkabail, P.S.; Lavender, S.; Skidmore, A.; Yue, P.; Weng, Q. (eds), 2016: XXIII ISPRS congress, commission VIII. XXIII ISPRS congress, Prague, Czech Republic, July 12-19, 2016. 453-458. doi: 10.5194/isprs-archives-XLI-B8-453-2016
Braaker, S.; Moretti, M.; Boesch, R.; Ghazoul, J.; Obrist, M.K.; Bontadina, F., 2014: Assessing habitat connectivity for ground-dwelling animals in an urban environment. Ecological Applications, 24, 7: 1583-1595. doi: 10.1890/13-1088.1
Boesch, R., 2013: Model based automatic segmentation of tree stems from single scan data. In: Sunar, F.; Altan, O.; Li, S.; Schindler, K.; Jiang, J. (eds), 2013: ISPRS conference on serving society with geoinformatics (SSG), Antalya, Turkey, November 11-17, 2013. 49-53. doi: 10.5194/isprsarchives-XL-7-W2-49-2013
Wang, Z.; Boesch, R.; Ginzler, C., 2012: Forest delineation of aerial images with Gabor wavelets. International Journal for Remote Sensing, 33, 7: 2196-2213. doi: 10.1080/01431161.2011.608087
Leyk, S.; Boesch, R., 2010: Colors of the past: color image segmentation in historical topographic maps based on homogeneity. GeoInformatica, 14, 1: 1-21. doi: 10.1007/s10707-008-0074-z
Leyk, S.; Boesch, R., 2009: Extracting composite cartographic area features in low-quality maps. Cartography and Geographic Information Science, 36, 1: 71-79. doi: 10.1559/152304009787340115
Wang, Z.; Boesch, R., 2007: Color- and texture-based image segmentation for improved forest delineatio. IEEE Transactions on Geoscience and Remote Sensing, 45, 10: 3055-3062. doi: 10.1109/Tgrs.2007.896283
Leyk, S.; Boesch, R.; Weibel, R., 2006: Saliency and semantic processing: extracting forest cover from historical topographic maps. Pattern Recognition, 39, 5: 953-968. doi: 10.1016/j.patcog.2005.10.018
Leyk, S.; Boesch, R.; Weibel, R., 2005: A conceptual framework for uncertainty investigation in map-based land cover change modelling. Transactions in GIS, 9, 3: 291-322. doi: 10.1111/j.1467-9671.2005.00220.x
Obrist, M.K.; Boesch, R.; Flückiger, P.F., 2004: Variability in echolocation call design of 26 Swiss bat species: consequences, limits and options for automated field identification with a synergetic pattern recognition approach. Mammalia, 68, 4: 307-322. doi: 10.1515/mamm.2004.030
Magazine article and brochures
Bolliger, J.; Hennet, T.; Wermelinger, B.; Pazur, R.; Bösch, R.; Blum, S.; Haller, J.; Obrist, M.K., 2019: Mehr Dunkelheit für nachtaktive Tiere. Nachtinsekten und Fledermäuse profitieren von dimmbaren LED-Strassenleuchten. Elektrotechnik: ET, 70, 2: 28-31.
Bolliger, J.; Hennet, T.; Pazur, R.; Wermelinger, B.; Bösch, R.; Blum, S.; Haller, J.; Obrist, M.K., 2018: Dimmbare LED Strassenleuchten: gute Aussichten für Nachtinsekten und Fledermäuse?. Éclairage public à LED d’intensité variable: bonne nouvelle pour les insectes nocturnes et les chauves-souris?. Nature + Paysage. Natur + Landschaft: Inside, 16-21.
Obrist, M.; Boesch, R.; Gysin, H., 2011: BATLOGGER - ein neuer Schweizer Highend-Detektor. Fledermaus-Anzeiger, 12.
Bösch, R.; Ginzler, C.; Wang, Z., 2007: Von Decken und Lücken. LFI Info, 1-4.
Further scientific publications
Bühler, Y.; Stoffel, A.; Adams, M.; Bösch, R.; Ginzler, C., 2016: UAS photogrammetry of homogenous snow cover. In: Kersten, T.P. (eds), 2016: Beiträge. 36. Wissenschaftlich-technische Jahrestagung der DGPF. 36. wissenschaftlich-technische Jahrestagung der DGPF. DGPF-OVG-SGPF Dreiländertagung 2016, Bern, Switzerland, June 7-9, 2016. 306-316.
Adams, M.S.; Fromm, R.; Graf, A.; Bühler, Y.; Stoffel, A.; Boesch, R.; Ginzler, C., 2016: Investigating the potential of low-cost remotely piloted aerial systems for monitoring the alpine snow cover. RPAS4SNOW. Final project report. Innsbruck, ÖAW - Austrian Academy of Sciences. 82 p. doi: 10.1553/ESS-01
Bühler, Y.; Bösch, R.; Stoffel, A.; Adams, M., 2015: Geodatenerfassung im hochalpinen Gelände mittels Drohnen. Geomatik Schweiz, Géomatique Suisse, Geomatica Svizzera, 113, 9: 366-370. doi: 10.5169/seals-513923
Boesch, R.; Ginzler, Ch., 2013: Automatische Berechnung einer nationalen Gehölzmaske. Geomatik Schweiz, Géomatique Suisse, Geomatica Svizzera, 111, 9: 518-520. doi: 10.5169/seals-346992
Boesch, R.; Ginzler, C., 2013: Automatische Berechnung einer nationalen Gehölzmaske. In: Seyfert, E. (eds), 2013: Vorträge, 33. Wissenschaftlich-Technische Jahrestagung der DGPF. 33. Wissenschaftlich-Technische Jahrestagung der DGPF, Freiburg i.B., Februar 27 - March 1, 2013. 46-53.
Obrist, M.K.; Flückiger, P.F.; Boesch, R., 2011: Bioakustische Fledermauserhebungen in unterschiedlichen Lebensräumen der Schweiz - Computergestützte synergetische Arterkennung im Einsatz. Mitteilungen der Naturforschenden Gesellschaft des Kantons Solothurn, 9-87. doi: 10.5169/seals-543334
Wang, Z.; Boesch, R.; Ginzler, C., 2011: Shadow detection in ADS40 images using near-infrared information. In: 2011: 2011 International Conference on Multimedia Technology (ICMT 2011), Proceedings. 2011 International Conference on Multimedia Technology (ICMT 2011), Hangzhou, China. 3222-3225. doi: 10.1109/ICMT.2011.6003083
Wang, Z.; Boesch, R.; Ginzler, C., 2011: Quantitative comparison of segmentation results from ADS40 images in Swiss NFI. In: 2011: Proceedings. The 6th International Conference on Image and Graphics. 6th International Conference on Image and Graphics, Hefei, Anhui, China. 147-151. doi: 10.1109/ICIG.2011.105
Lachat, T.; Blaser, F.; Bösch, R.; Bonnard, L.; Gimmi, U.; Grünig, A.; Roulier, C.; Sirena, G.; Stöcklin, J.; Volkart, G., 2011: Perte de milieux naturels précieux. In: Lachat, T.; Pauli, D.; Gonseth, Y.; Klaus, G.; Scheidegger, C.; Vittoz, P.; Walter, T. (eds), 2011: Evolution de la biodiversité en Suisse depuis 1900. Avons-nous touché le fond?. Zürich, Bristol-Stiftung; Bern, Stuttgart, Wien, Haupt. 22-63.
Lachat, T.; Blaser, F.; Bösch, R.; Bonnard, L.; Gimmi, U.; Grünig, A.; Roulier, C.; Sirena, G.; Stöcklin, J.; Volkart, G., 2010: Verlust wertvoller Lebensräume. In: Lachat, T.; Pauli, D.; Gonseth, Y.; Klaus, G.; Scheidegger, C.; Vittoz, P.; Walter, T. (eds), 2010: Wandel der Biodiversität in der Schweiz seit 1900. Ist die Talsohle erreicht?. Zürich, Bristol-Stiftung; Bern, Stuttgart, Wien, Haupt. 22-63.
Wang, Z.; Boesch, R.; Ginzler, C., 2008: Feature Extraction for Forest Inventory. In: Li, D.; Deng, G. (eds), 2008: 2008 Congress on Image and Signal Processing, CISP’ 08. Congress on Image and Signal Processing, Sanya, May 27-30, 2008. 732-735. doi: 10.1109/CISP.2008.736
Boesch, R.; Wang, Z., 2008: Segmentation optimization for aerial images with spatial constraints. In: 2008: 285-289.
Wang, Z.; Boesch, R.; Ginzler, C., 2008: Integration of high resolution aerial images and airborne LIDAR data for forest delineation. In: 2008: 1203-1207.
Obrist, M.K.; Boesch, R.; Flückiger, P., 2008: Probabilistic Evaluation of Synergetic Ultrasound Pattern Recognition for Large Scale Bat Surveys. In: Frommolt, K-H.; Bardeli, R.; Clausen, M. (eds), 2008: Computational bioacoustics for assessing biodiversity. Proceedings. International Expert meeting on IT-based detection of bioacoustical patterns, Isle of Vilm. 29-42.
Wang, Z.; Boesch, R.; Ginzler, C., 2007: Color and LIDAR Data Fusion: Application to automatic forest boundary delineation in aerial images. In: 2007: 4 pp.. doi: 10.1109/IGARSS.2006.673
Wang, Z.; Boesch, R.; Ginzler, C., 2007: Aerial images and LIDAR Fusion Applied in Forest Boundary Detection. In: 2007: Lecture Notes in Signal Science, Internet and Education. Proceedings. 7th WSEAS International Conference on Signal, Speech and Image Processing, Beijing. 130-135.
Ginzler, C.; Boehl, J.; Boesch, R.; Waser, L.T., 2007: Accuracy of forest parameters derived from medium footprint LiDAR under operational constraints. In: 2007: ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007. ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo. 144-149.
Wang, Z.; Boesch, R., 2006: Automatic forest boundary delineation in aerial images. In: 2006: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium, Denver, CO, USA. 2605-2609. doi: 10.1109/IGARSS.2006.673
Wang, Z.; Boesch, R.; Waser, L.; Ginzler, C., 2006: Mean Shift Segmentation Applied to ADS40 Data for Automatic Forest Detection. In: 2006: Proceedings of the IEEE International Conference on Information and Automation. IEEE International Conference on Information and Automation, Zhuhai/Macau, China. 1099-1103. doi: 10.1109/ICINFA.2009.5205081
Obrist, M.K.; Boesch, R.; Flückiger, P.F.; Dieckmann, U., 2004: Who's calling? Acoustic bat species identification revised with synergetics. In: Thomas, J.A.; Moss, C.F.; Vater, M. (eds), 2004: Echolocation in Bats and Dolphins. Proceedings of the Biosonar Conference 1998. Biosonar conference 1998. 468-477.
Innes, J.L.; Keller, W.; Bösch, R., 1998: Assessment of biodiversity in ecosystem monitoring plots with particular reference to Switzerland. In: Dallmeier, F.; Comiskey, J. (eds), 1998: Forest biodiversity research, monitoring and modeling: conceptual background and old world case studies. 371-395.
Boesch, R., 1997: Grouping and Generalisation with Tetra-Trees. In: 1997: International Society for Photogrammetry and Remote Sensing Workshop on Theoretical and Practical Aspects of Surface Reconstruction and 3D Object Extraction, Vol. 3, <sup>3-2</sup>W<sub>3</sub>. International Society for Photogrammetry and Remote Sensing Workshop on Theoretical and Practical Aspects of Surface Reconstruction and 3D Object Extraction. 18-21.
Boesch, R., 1996: Detection and extraction of complex map symbols. In: 1996: 65-69.
Hägeli, M.; Bösch, R.; Wey, J., 1996: Connecting WWW, GIS and RDBMS. In: Rumor, M.; McMillan, R.; Ottens, H.F.L. (eds), 1996: Geographical Information. From Research to Application through Cooperation. Vol. 1. Amsterdam, IOS Press. 108-111.
Boesch, R., 1995: Improved utilization of ARC/INFO image catalogues. In: 1995: Proceedings 10. ARC/INFO European User Conference. 10. ARC/INFO European User Conference, Prag.