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Tree detection from aerial imagery
2009
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '09
We propose an automatic approach to tree detection from aerial imagery. First a pixel-level classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial image. The pixel-level classification is then refined by a partitioning algorithm to a clean image segmentation of tree and non-tree regions. Based on the refined segmentation results, we adopt template matching followed by greedy selection to locate individual tree crowns. As training a pixel-level classifier requires
doi:10.1145/1653771.1653792
dblp:conf/gis/YangWPM09
fatcat:o6w7b6o4bfeqdi4a33rqcid7zu