Abdelaal, M.; Reichelt, D.; Dürr, F.; Rothermel, K.; Runceanu, L.; Becker, S. & Fritsch, D. [2018]
ComNSense: Grammar-Driven Crowd-Sourcing of Point Clouds for Automatic Indoor Mapping. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2 Issue 1, March 2018, Article No. 1, 26 p.
DOI: 10.1145/3191733
Blaser, S., Cavegn, S. & Nebiker, S. [2018]
Development of a Portable High Performance Mobile Mapping System Using the Robot Operating System. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 13-20, 2018.
DOI: 10.5194/isprs-annals-IV-1-13-2018
Blaser, S.; Nebiker, S. & Cavegn, S. [2018]
On a Novel 360° Panoramic Stereo Mobile Mapping System. Photogrammetric Engineering & Remote Sensing, Volume 84, Number 6, June 2018, pp. 347-356(10).
DOI: 10.14358/PERS.84.6.347
Cavegn, S.; Blaser, S.; Nebiker, S. & Haala, N. [2018]
Robust and Accurate Image-based Georeferencing Exploiting Relative Orientation Constraints. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 57-64, 2018.
DOI: 10.5194/isprs-annals-IV-2-57-2018
Cramer, M.; Haala, N.; Laupheimer, D.; Mandlburger, G. & Havel, P. [2018]
Ultra-high precision UAV-based LiDAR and Dense Image Matching. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115-120.
DOI: 10.5194/isprs-archives-XLII-1-115-2018
Gruber, T., Kokhova, M., Ritter, W., Haala, N. & Dietmayer, K. [2018]
Learning Super-resolved Depth from Active Gated Imaging. 21st IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018).
DOI: 10.1109/ITSC.2018.8569590
Gu, H.; Han, Y.; Yang, Y.; Li, H.; Liu, Z.; Soergel, U.; Blaschke, T. & Cui, S. [2018]
An Efficient Parallel Multi-Scale Segmentation Method for Remote Sensing Imagery. Remote Sens. 2018, 10, 590.
DOI: 10.3390/rs10040590
Jhan, J.-P., Rau, J-Y. & Haala, N. [2018]
Robust and adaptive band-to-band image transform of UAS miniature multi-lens multispectral camera. ISPRS Journal of Photogrammetry and Remote Sensing 137 (2018), pp. 47-60.
DOI: 10.1016/j.isprsjprs.2017.12.009
Kenduiywo, B. K.; Bargiel, D. & Soergel, U. [2018]
Crop-type mapping from a sequence of Sentinel 1 images. International Journal of Remote Sensing.
DOI: 10.1080/01431161.2018.1460503
Laupheimer, D, & Haala, N. [2018]
Deep Learning for the Classification of Building Facades. DGPF annual conference, München, Germany. Publikationen der DGPF, Band 27, 2018, pp.701-709.
URL: http://www.dgpf.de/src/tagung/jt2018/proceedings/proceedings/papers/28_PFGK18_KKN_01_Laupheimer_Haala.pdf
Laupheimer, D.; Tutzauer, P.; Haala, N. & Spicker, M. [2018]
Neural Networks for the Classification of Building-use from Street-View Imagery. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 177-184, 2018.
DOI: 10.5194/isprs-annals-IV-2-177-2018
Li, H.; Ghamisi, P.; Soergel, U.& Zhu, X.X [2018]
Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks. Remote Sens. 2018, 10, 1649.
DOI: 10.3390/rs10101649
Lotte, R.G.; Haala, N.; Karpina, M.; Aragão, L.E.O.C. & Shimabukuro, Y.E. [2018]
3D Façade Labeling over Complex Scenarios: A Case Study Using Convolutional Neural Network and Structure-From-Motion. Remote Sens. 2018, 10, 1435.
DOI: 10.3390/rs10091435
Mandlburger , G. [2018]
Gewässervermessung mittels aktiver und passiver optischer Fernerkundung. VGI - Die Zeitschrift, 2018 - 106. Jahrgang, Heft 3/2018.
Mandlburger, G. [2018]
A review of Airborne Laser Bathymetry sensors. Proc. of the 5th IAHR Europe Congress — New Challenges in Hydraulic Research and Engineering.
URL: http://rpsonline.com.sg/rps2prod/iahr2018/pdf/162.pdf
Mandlburger, G. [2018]
A Case Study on Through-Water Dense Image Matching. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 659-666.
DOI: 10.5194/isprs-archives-XLII-2-659-2018
Mandlburger, G. [2018]
Gewässervermessung mittels aktiver und passiver Fernerkundungsverfahren. Vermessung & Geoinformation, 106. Jahrgang, Heft 1/2018, S. 28.
Mandlburger, G. [2018]
Topography and Bathymetry via Laser Scanning and Multi-Spectral Imaging - From Sensors to Applications. Tutorial at the ISPRS TC I Symposium in Karlsruhe 2018.
URL: http://tc1-symposium2018.ipf.kit.edu/91.php
Mandlburger, G. & Jutzi, B. [2018]
Feasibility Investigation on Single Photon LiDAR Based Water Surface Mapping. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, pp. 109-116, 2018.
DOI: 10.5194/isprs-annals-IV-1-109-2018
Mandlburger, G.; Kremer, J.; Steinbacher, F. & Baran, R. [2018]
Investigating the Use of Coastal Blue Imagery for Bathymetric Mapping of Inland Water Bodies. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, pp. 275-282, 2018.
DOI: 10.5194/isprs-archives-XLII-1-275-2018
Meißner, H., Cramer, M. & Reulke, R. [2018]
Towards Standardized Evaluation of Image Quality for Airborne Camera Systems. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 295-300.
DOI: 10.5194/isprs-archives-XLII-1-295-2018
Meißner, H.; Przybilla, H.-J., Cramer, M. & Stebner, K. [2018]
UAV-Kameras – Bewertung von Kalibrierung, Langzeitstabilität und optischem Auflösungsvermögen. Beiträge zum 169. DVW-Seminar UAV 2018 – Vermessung mit unbemannten Flugsystemen, 19.-20. Februar 2018 in Hamburg, Schriftenreihe des DVW – Gesellschaft für Geodäsie, Geoinformation und Landmanagement e.V., Band 89/2018, Wißner Verlag, Seiten 47-59.
Milenković, M.; Ressl, C.; Karel, W.; Mandlburger, G. & Pfeifer, N. [2018]
Roughness Spectra Derived from Multi-Scale LiDAR Point Clouds of a Gravel Surface: A Comparison and Sensitivity Analysis. ISPRS Int. J. Geo-Inf. 2018, 7, 69.
DOI: 10.3390/ijgi7020069
Rettenmund, D., Fehr, M., Cavegn, S. & Nebiker, S. [2018]
Accurate Visual Localization in Outdoor and Indoor Environments Exploiting 3D Image Spaces as Spatial Reference. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 355-362, 2018.
DOI: 10.5194/isprs-archives-XLII-1-355-2018
Runceanu, L. S. & Haala, N. [2018]
Indoor Mesh Classification for BIM. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 535-539.
DOI: 10.5194/isprs-archives-XLII-4-535-2018
Schilling, H.; Bulatov, D.; Niessner, R.; Middelmann W. and Soergel, U. [2018]
Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
DOI: 10.1109/JSTARS.2018.2825099
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.& 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