The Possibilities of Using the Terrestrial Scanning Data for Classification of Rocks in Limestone Mine “Czatkowice”

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.Search in Google Scholar

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.2009.03.003Search in Google Scholar

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. 2007.05.008Search in Google Scholar

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.pdfSearch in Google Scholar

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. 2014.04.003Search in Google Scholar

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-4462Search in Google Scholar

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.pdfSearch in Google Scholar

Richards, J.A., (1993). Remote Sensing Digital Image Analysis (New York: Springer- Verlag) Chapter 10.10.1007/978-3-642-88087-2Search in Google Scholar

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). 223-227Search in Google Scholar

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.pdfSearch in Google Scholar

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.Search in Google Scholar

Toś, C. (2013). Supervised classification of laser scanning data in the assessment of technical conditions of masonry constructions. Technical transactions. 1-Ś/2013.Search in Google Scholar

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.pdfSearch in Google Scholar

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.pdfSearch in Google Scholar