XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [ADDITIONAL PAPERS]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: THE BENEFITS OF TERRESTRIAL LASER SCANNING AND HYPERSPECTRAL DATA FUSION PRODUCTS S. J. Buckley, T. H. Kurz, D. Schneider

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia the Pozalagua Quarry, and for a travel grant allowing presentation of this paper. Norsk Elektro Optikk AS and Riegl GmbH are acknowledged for continued hardware and software support. John Howell is thanked for assistance with fieldwork in Spain. REFERENCES Axelsson, P., 1999. Processing of laser scanner data — algorithms and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 54(2-3), pp. 138-147. Bellian, J.A., Kerans, C. and Jennette, D.C., 2005. Digital outcrop models: applications of terrestrial scanning lidar technology in stratigraphic modeling. Journal of Sedimentary Research, 75(2), pp. 166-176. Boardman, J.W., 1998. Leveraging the high dimensionality of AVIRIS data for improved sub-pixel target unmixing and rejection of false positives: mixture tuned matched filtering. Summaries of the Seventh Annual JPL Airborne Earth Science Workshop, Pasadena, California. Vol. 1, pp. 55. Buckley, S.J., Howell, J.A., Enge, H.D. and Kurz, T.H., 2008. Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. Journal of the Geological Society, London, 165(3), pp. 625-638. Buckley, S.J., Enge, H.D., Carlsson, C. and Howell, J.A., 2010. Terrestrial laser scanning for use in virtual outcrop geology. Photogrammetric Record, 25(131), pp. 225-239. El-Hakim, S.F., Brenner, C. and Roth, G., 1998. A multi- sensor approach to creating virtual environments. /SPRS Journal of Photogrammetry and Remote Sensing, 53(6), pp. 379-391. Fassi, F., Achille, C. and Fregonese, L., 2011. Surveying and modelling the main spire of Milan Cathedral using multiple data sources. Photogrammetric Record, 26(136), pp. 462- 487. Franceschi, M., Teza, G., Preto, N., Pesci, A., Galgaro, A. and Girardi, S., 2009. Discrimination between marls and limestones using intensity data from terrestrial laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing, 64(6), pp. 522-528. Frueh, C., Jain, S. and Zakhor, A., 2005. Data processing algorithms for generating textured 3D building facade meshes from laser scans and camera images. International Journal of Computer Vision, 61(2), pp. 159-184. Green, A.A., Berman, M., Switzer, P. and Craig, M.D., 1988. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26(1), pp. 65—74. Guo, L., Chehata, N., Mallet, C. and Boukir, S., 2011. Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests. ISPRS Journal of Photogrammetry and Remote Sensing, 66(1), pp. 56-66. Hemmleb, M., Weritz, F., Schiemenz, A., Grote, A. and Maierhofer, C., 2006. Multi-spectral data acquisition and 546 processing techniques for damage detection on building surfaces. /nternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI, Part B5, 6 pages (on CD-ROM). Hófle, B. and Pfeifer, N., 2007. Correction of laser scanning intensity data: data and model-driven approaches. ISPRS Journal of Photogrammetry and Remote Sensing, 62(6), pp. 415-433. Keshava, N. and Mustard, J.F., 2002. Spectral unmixing. IEEE Signal Processing Magazine, 19(1), pp. 44-57. Koch, B., 2010. Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment. ISPRS Journal of Photogrammetry and Remote Sensing, 65(6), pp. 581-590. Kurz, T.H., Buckley, S.J., Howell, J.A. and Schneider, D., 2008. Geological outcrop modelling and interpretation using ground based hyperspectral and laser scanning data fusion. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B8), pp. 1229- 1234. Kurz, T.H., Buckley, S.J., Howell, J.A. and Schneider, D., 2011. Integration of panoramic hyperspectral imaging with terrestrial lidar data. Photogrammetric Record, 26(134), pp. 212-228. Kurz, T.H., Dewit, J., Buckley, S.J., Thurmond, J.B., Hunt, D.W. and Swennen, R., 2012. Hyperspectral image analysis of different carbonate lithologies (limestone, karst and hydrothermal dolomites): the Pozalagua Quarry case study (Cantabria, North-west Spain). Sedimentology, 59(2), pp. 623-645. Lichti, D.D., 2005. Spectral filtering and classification of terrestrial laser scanner point clouds. Photogrammetric Record, 20(111), pp. 218—240. Luhmann, T., Robson, S., Kyle, S. and Harley, L, 2006. Close Range Photogrammetry: Principles, Methods and Applications. Whittles, Dunbeath, Caithness, Scotland. 510pp. Nield, J.M., Wiggs, G.F. and Squirrell, R.S., 2011. Aeolian sand strip mobility and protodune development on a drying beach: examining surface moisture and surface roughness patterns measured by terrestrial laser scanning. Earth Surface Processes and Landforms, 36(2), pp. 273-278. Norsk Elektro Optikk, 2012. HySpex hyperspectral imaging. http://www hyspex.no/ (13 April, 2012). Schneider, D. and Maas, H.-G., 2006. A geometric model for linear-array-based terrestrial panoramic cameras. Photogrammetric Record, 21(115), pp. 198-210. van der Meer, F.D. de Jong, S.M. 2001. Imaging Spectrometry: Basic ^ Principles and . Prospective Applications, Kluwer Academic, Dordrecht, 403pp.

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