XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

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:: [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: AN ACCURACY ASSESSMENT OF GEOREFERENCED POINT CLOUDS PRODUCED VIA MULTI-VIEW STEREO TECHNIQUES APPLIED TO IMAGERY ACQUIRED VIA UNMANNED AERIAL VEHICLE Steve Harwin and Arko Lucieer

Document type:: Multivolume work

Structure type:: Chapter

* (a) The UAV-MVS point cloud below Poisson (blue) and TIN (light blue) strips. (b) The T-MVS point cloud below Poisson (brown) and TIN (pink) strips. (c) The T-MVS point cloud below UAV-MVS Poisson (blue) and T-MVS Poisson (brown) strips. Figure 9: 6 cm wide strips of Poisson and TIN surfaces viewed over a pebbly beach section of the points clouds from which they were derived (Z-10 cm), each natural coloured dot has a 14mm diameter. Two datasets were derived using the technique, one using terres- trial photography and the other using photography acquired via an unmanned aerial vehicle (UAV). The two point clouds provided dense point coverage of the areas captured in the imagery, the ter- restrial MVS dataset had 3-5 points per cm? and the UAV-MVS dataset had —1-3 points per cm?. Once georeferenced the two clouds coincided quite well, however in future studies compar- ison will be between coregistered datasets. Triangulated mesh- ing and Poisson surface reconstruction was used to create surface models and these models were compared and evaluated to assess how well the terrain and surface features were portrayed. The point clouds produced using MVS have point normals associated with each point and this allows detailed surface features to be de- rived using Poisson surface reconstruction. The derivatives that can be extracted from such a detailed surface representation will benefit from the Poisson algorithm as it combines global and local function fitting and seems to smooth the data and the process is not strongly influenced by outliers in the point cloud. Future stud- ies will undertake quantitative assessment of the differences and evaluate the potential of these techniques for change detection, in this study area the fine scale coastal erosion that is occurring may be indicative of climate change and, if this technique proves useful, UAVs may be a viable tool for focussed monitoring stud- ies. The issues faced in vegetated areas and areas with complex 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 geometry that result in sparse patches in the point cloud need to be investigated, it may be that the key areas of change are still well represented. The MVS technique has a great deal of poten- tial both in natural and man-made landscapes and there are many potential applications for the use of UAVs for remote sensing data capture, alongside laser scanning and more traditional tech- niques, to provide very detailed and precise representations of a range of landscapes at key moments. Application areas include landform monitoring, mine surveying and other environmental monitoring. Qualitatively, the outputs from the UAV-MVS pro- cess compare very well to the terrestrial MVS results. The UAV can map a greater area faster and from more viewing angles, it is therefore an ideal platform for capturing very high detail 3D snapshots of these environments. ACKNOWLEDGEMENTS The authors would like to thank Darren Turner for his logistical, technical and programming support and UAV training. Thank you to Myriax for the scholarship license for the Eonfusion nD spatial analysis package. In addition, for making their algorithms and software available, we would like to give thanks and appre- ciation to Noah Snavely and his team for Bundler, David Lowe for SIFT, the libsift team for SIFTFast, Yasutuka Furukawa and Jean Ponce for their multi-view stereopsis algorithms (PMVS2 and CMVS) and Martin Isenburg for LASTools. References Bolitho, M., Kazhdan, M. and Burns, R., 2009. Parallel poisson surface reconstruction. Advances in Visual Computing LNCS 5875, pp. 678—689. Harwin, S. and Lucieer, A., 2012. Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from Unmanned Aerial Vehicle (UAV) imagery. Currently in review, publication pending. Jazayeri, L, Fraser, C. and Cronk, S., 2010. Automated 3D Object Reconstruction Via Multi-Image Close-Range Photogramme- try. International Archives of Photogrammetry, Remote Sens- ing and Spatial Information Sciences XXXVIII(2000), pp. 3- 8. Kazhdan, M., Bolitho, M. and Hoppe, H., 2006. Poisson surface reconstruction. In: Proceedings of the Eurographics Sympo- sium on Geometry Processing. Lim, S. and Haron, H., 2012. Surface reconstruction techniques: a review. Artificial Intelligence Review. Lowe, D. G., 2004. Distinctive Image Features from Scale- Invariant Keypoints. International Journal of Computer Vision 60(2), pp. 91-110. Mikrokopter, 2012. WiKT” http://www.mikrokopter.com. "MikroKopter Remondino, F. and El-Hakim, S., 2006. Image-based 3D Mod- elling: A Review. The Photogrammetric Record 21(115), pp. 269-291. Snavely, N., Seitz, S. M. and Szeliski, R., 2006. Photo Tourism: Exploring image collections in 3D. ACM Transactions on Graphics 25(3), pp. 835. Zhou, K., Gong, M., Huang, X. and Guo, B., 2010. Data-Parallel Octrees for Surface Reconstruction. IEEE transactions on vi- sualization and computer graphics 17(5), pp. 669—681.

Access restriction

Copyright

fullscreen: Technical Commission VII (B7)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation