TremblayBeland2018
Référence
Tremblay, J.-F., Beland, M. (2018) Towards operational marker-free registration of terrestrial lidar data in forests. ISPRS Journal of Photogrammetry and Remote Sensing, 146:430 - 435. (URL 
)
Résumé
Terrestrial laser scanning (TLS) often makes use of multiple scans in forests to allow for a complete view of a given area. Combining measurements from multiple locations requires accurate co-registration of the scans to a common reference coordinate system, which currently relies on markers, an often cumbersome process in forests. Existing algorithms for achieving marker-free registration of TLS scans in forests promise to significantly decrease field work time, but are not yet operational and their results have not been validated against traditional methods. Here we present a new implementation of an existing approach which runs in parallel mode and is able to process TLS data acquired over large forest areas. To validate our algorithm, point cloud registration matrices (translation and rotation) derived from our algorithm were compared to those obtained using reflective markers in multiple forest types. The results show that our approach can be used operationally in forests with relatively clear understory, and it provides accuracy similar to that obtained from using reflective markers. Furthermore, we identified factors that can lead to this approach falling short of providing acceptable results in terms of accuracy.
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@ARTICLE { TremblayBeland2018,
AUTHOR = { Tremblay, J.-F. and Beland, M. },
TITLE = { Towards operational marker-free registration of terrestrial lidar data in forests },
JOURNAL = { ISPRS Journal of Photogrammetry and Remote Sensing },
YEAR = { 2018 },
VOLUME = { 146 },
PAGES = { 430 - 435 },
ISSN = { 0924-2716 },
ABSTRACT = { Terrestrial laser scanning (TLS) often makes use of multiple scans in forests to allow for a complete view of a given area. Combining measurements from multiple locations requires accurate co-registration of the scans to a common reference coordinate system, which currently relies on markers, an often cumbersome process in forests. Existing algorithms for achieving marker-free registration of TLS scans in forests promise to significantly decrease field work time, but are not yet operational and their results have not been validated against traditional methods. Here we present a new implementation of an existing approach which runs in parallel mode and is able to process TLS data acquired over large forest areas. To validate our algorithm, point cloud registration matrices (translation and rotation) derived from our algorithm were compared to those obtained using reflective markers in multiple forest types. The results show that our approach can be used operationally in forests with relatively clear understory, and it provides accuracy similar to that obtained from using reflective markers. Furthermore, we identified factors that can lead to this approach falling short of providing acceptable results in terms of accuracy. },
DOI = { https://doi.org/10.1016/j.isprsjprs.2018.10.011 },
KEYWORDS = { Scan registration, Terrestrial lidar, Forests, Reflective markers },
URL = { http://www.sciencedirect.com/science/article/pii/S0924271618302892 },
}
