Image modelling of forest changes associated with acid mine drainage
Computers & Geosciences
The automatic recognition of individual trees in aerial images of forests based on a synthetic tree crown image model
GAMM: genetic algorithms with meta-models for vision
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
International Journal of Remote Sensing
The use of airborne lidar for orchard tree inventory
International Journal of Remote Sensing
International Journal of Remote Sensing
Machine learning for adaptive image interpretation
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
An application for tree detection using satellite imagery and vegetation data
Journal of Computational Methods in Sciences and Engineering - Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2009
Automated extraction of tree and plot-based parameters in citrus orchards from aerial images
Computers and Electronics in Agriculture
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The sustainable management of forests for multiple uses requires fine-scale resource information for a range of attributes. Remotely sensed imagery, if appropriately interpreted, can provide detailed, quantitative data for deriving forest information. This paper describes the tree identification and delineation algorithm (TIDA), an image analysis tool designed to delineate tree crowns automatically in high spatial resolution digital imagery. The (local) radiometric maxima and minima are the primary image features used for the crown delineation process, being indicative of crown centroids and boundaries, respectively. TIDA was developed for application to imagery of native Eucalypt forests in Australia, and uses a 'top-down' spatial clustering approach involving key steps designed to reduce the effects of crown segmentation. The assumptions and fundamental processes of the algorithm are described, examples of the output and performance considerations are given, and possible limitations are discussed.