期刊
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
卷 70, 期 -, 页码 88-98出版社
ELSEVIER
DOI: 10.1016/j.isprsjprs.2012.04.003
关键词
Remote sensing; Forestry; Extraction; Imagery; Segmentation; Multiresolution
类别
资金
- Natural Sciences and Engineering Research Council (NSERC) of Canada
- Canadian Space Agency
- GeoDigital Inc.
A forest consists of multi-scale branches, tree crowns, and tree clusters. Similar to small tree crowns in shape and scale, branches normally cause over-segmentation of imagery when a watershed segmentation approach is used to segment imagery for tree crown delineation. In order to eliminate such over-segmentation, a new method for individual tree crown delineation from optical imagery was proposed based on multi-scale filtering and segmentation in this study. In this method, the dominant sizes of tree crowns are first determined; Gaussian filters are designed to fit the three-dimensional radiometric shapes of multi-scale tree crowns; the grayscale image is smoothed using the Gaussian filters and segmented using the watershed segmentation approach; and finally, the resulting multiple segmentation maps are integrated together to generate a tree crown map. In an experiment on aerial imagery of forests consisting of multi-scale tree crowns, the proposed method yielded high-quality tree crown maps. (C) 2012 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
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