Comparison of six individual tree crown detection algorithms evaluated under varying forest conditions-Reference-Cited by-同舟云学术

Comparison of six individual tree crown detection algorithms evaluated under varying forest conditions

Published:2011-07-14 Issue:20 Volume:32 Page:5827-5852
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Larsen Morten¹,Eriksson Mats²,Descombes Xavier²,Perrin Guillaume²,Brandtberg Tomas³,Gougeon François A.⁴

Affiliation:

1. a Faculty of Life Sciences, University of Copenhagen , Thorvaldsensvej 40, DK-1871 , Frederiksberg C , Denmark

2. b INRIA Sophia Antipolis, Project ARIANA , 2004 Route des Lucioles – BP 93, 06902 , Sophia Antipolis Cedex , France

3. c Dianthus AB, Skapa Företagsby , Teknikvägen 15, 961 50 , Boden , Sweden

4. d Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre , 506 West Burnside Rd., Victoria , British Columbia , Canada , V8Z 1M5

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2010.507790

Reference49 articles.

1. Distance transformations in digital images

2. Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis

3. High-spatial-resolution remote sensing

4. Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America

5. Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data

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