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Towards automatic tree crown detection and delineation in spectral feature space using PCNN and morphological reconstruction

Li, Zhengrong, Hayward, Ross F., Zhang, Jinglan, Liu, Yuee, & Walker, Rodney A. (2009) Towards automatic tree crown detection and delineation in spectral feature space using PCNN and morphological reconstruction. In Proceedings of the 2009 IEEE International Conference on Image Processing, IEEE Computer Society, Grand Hyatt Hotel, Cairo. (In Press)

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Abstract

The application of object-based approaches to the problem of extracting vegetation information from images requires accurate delineation of individual tree crowns. This paper presents an automated method for individual tree crown detection and delineation by applying a simplified PCNN model in spectral feature space followed by post-processing using morphological reconstruction. The algorithm was tested on high resolution multi-spectral aerial images and the results are compared with two existing image segmentation algorithms. The results demonstrate that our algorithm outperforms the other two solutions with the average accuracy of 81.8%.

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ID Code: 29122
Item Type: Conference Paper
Keywords: tree crown delineation, spectral feature, PCNN, morphological reconstruction, segmentation
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Information Technology
Deposited On: 07 Dec 2009 13:47
Last Modified: 01 Mar 2012 00:12

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