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影响因子：4.848

DOI码：10.3390/rs6010555

发表刊物：remote sensing

关键字：treetop detection; crown boundary delineation; orthoimagery and ALS

摘要：Region growing is frequently applied in automated individual tree crown delineation (ITCD) studies. Researchers have developed various rules for initial seed selection and stop criteria when applying the algorithm. However, research has rarely focused on the impact of tree-oriented growth order. This study implemented a marker-controlled region growing (MCRG) algorithm that considers homogeneity, crown size, and shape using airborne laser scanning (ALS) data, and investigated the impact of three growth orders (i.e., sequential, independent, and simultaneous) on tree crown delineation. The study also investigated the benefit of combining ALS data and orthoimagery in treetop detection at both plot and individual tree levels. The results showed that complementary data from the orthoimagery reduced omission error associated with small trees in the treetop detection procedure and improved treetop detection percentage on a plot level by 2%–5% compared to ALS alone. For tree crown delineation, the growth order applied in the MCRG algorithm influenced accuracy. Simultaneous growth yielded slightly higher accuracy (about 2% improvement for producer’s and user’s accuracy) than sequential growth. Independent growth provided comparable accuracy to simultaneous growth in this study by dealing with overlapping pixels among trees OPEN ACCESS according to crown shape. This study provides several recommendations for applying region growing in future ITCD research.

合写作者：Lianjun Zhang

第一作者：Q1, Zhen Zhen

论文类型：期刊论文

通讯作者：Lindi J. Quackenbush*

卷号：6

期号：1

页面范围：555-579

ISSN号：2072-4292

是否译文：否

发表时间：2014-01-01

收录刊物：SCI