References
- Buckley, S. J., Kurz, T. H., Howell, J. A., Schneider, D., (2013). Terrestrial lidar and hyperspectral data fusion products for geological outcrop analysis. Computers & Geosciences, 54: 249–258. doi: 10.1016/j. cageo.2013.01.018.
- Franceschi, M., Teza, G., Preto, N., Pesci, A., Galgaro, A., Girardi, S., (2009). Discrimination between marls and limestones using intensity data from terrestrial laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing, 64(6), 522−528. doi: 10.1016/j.isprsjprs.2009.03.00310.1016/j.isprsjprs.2009.03.003
- Hoefle, B., Pfeifer, N., (2007). Correction of Laser Scanning intensity data: Data and model-driven approaches. International Journal of Photogrammetry and Remote Sensing. 62(6), 415–433. doi: 10.1016/j. isprsjprs. 2007.05.008
- Maciaszek, J., Ćwiąkała, P. (2010). Badania możliwości zastosowania skanowania laserowego do monitoringu osuwisk zboczy wyrobisk odkrywkowych na przykładzie KWB,, Bełchatów ”. Przegląd Górniczy, 66 (6), 52–57. Retrieved from http://www.sitg.pl/starastr/pg/PG_06_2010.pdf
- Penasa, L., Franceschi, M., Preto, N., Teza, G., Polito, V., (2014). Integration of intensity textures and local geometry descriptors from Terrestrial Laser Scanning to map chert in outcrops. ISPRS Journal of Photogrammetry and Remote Sensing, 93, 88−97. doi: 10.1016/j. isprsjprs. 2014.04.003
- Pesci, A., Teza, G. (2008). Effects of surface irregularities on intensity data from laser scanning: an experimental approach. Annals of Geophysics, 51,(5/6). 839-848. doi: 10.4401/ag-446210.4401/ag-4462
- Ratcliffe, S., Myers, A. (2006). Laser Scanning in the Open Pit Mining Environment A Comparison with Photogrammetry. I-SiTE Product Development White Paper. June 2006. Retrieved from http://www.gim-international.com /download /whitepaper_ uploadfile_2.pdf
- Richards, J.A., (1993). Remote Sensing Digital Image Analysis (New York: Springer- Verlag) Chapter 10.10.1007/978-3-642-88087-2
- Rosenfield, G.H., and K. Fitzpatric-Lins, (1986). A Coefficient of Agreement as a Measure of Thematic Classification Accuracy. Photogrammetric Engineering and Remote Sensing, 52 (2). 223-227
- Soudarissanane, S., Lindenbergh, R, Menenti, M., Teunissen P., (2009). Incidence angle influence on the quality of terrestrial laser scanning points. Laser scanning 2009, IAPRS, XXXVIII, (Part 3 W8) 183-188. Retrieved from: http://www. isprs.org/proceedings/xxxviii/3-w8/papers/183_laserscanning09.pdf
- Toś, C., Wolski, B., Zielina, L. (2010) Scanning tacheometers. Application of scanning technology at generating of high accuracy models of engineering objects. Kraków: Wydawnictwa Politechniki Krakowskiej.
- Toś, C. (2013). Supervised classification of laser scanning data in the assessment of technical conditions of masonry constructions. Technical transactions. 1-Ś/2013.
- Voegtle, T., Schwab, I., Landes, T. (2008). Influence of different materials on the measurements of terrestrial laser scanner. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37 (B5). 1061-1066. Retrieved from http://www.isprs.org/proceedings/XXXVII/congress/5_pdf/182.pdf
- Żaczek-Peplińska, J., Falaciński, D. (2011) Evaluation of possibilities to apply laser scanning for assessment of conditions of concrete. Reports on geodesy, 1(2011), 537-544. Retrieved from: yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-0a4bd6c9-a49c-4916-9da3-761e6e1404ef/c/Zaczek-Peplinska_Falacinski.pdf