Fuzzy Hough transform-based methods for extraction and measurements of single trees in large-volume 3D terrestrial LIDAR data

Authors:
Leszek J. Chmielewski;Marcin Bator;Michał Zasada;Krzysztof Stereńczak;Paweł Strzeliński
Affiliations:
Warsaw University of Life Sciences, Faculty of Applied Informatics and Mathematics;Warsaw University of Life Sciences, Faculty of Applied Informatics and Mathematics;Warsaw University of Life Sciences, Faculty of Forestry;Warsaw University of Life Sciences, Faculty of Forestry;Poznan University of Life Sciences, Faculty of Forestry
Venue:
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Year:
2010

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Abstract

This startup study suggests that more accurate and quicker methods of forestry terrestrial LIDAR data analysis can be developed, but new benchmark data sets with the ground truth data known are necessary for these methods to be validated. It follows from the literature review that the improvement in the methods can be attained by the use of newer Hough transform-based (HT) and other robust fuzzy methods for data segmentation and tree measurements. Segmentation of trees can be done by the limit fuzzification of the data around the breast height. Several HT variants having different properties can be applied to measure the diameter at breast height and the accuracies better than those offered by the commercial software seem to be attainable.