APPLICATION OF THE MMAC ALGORITHM TO TREE HEIGHT AND CROWN DIAMETER ESTIMATION IN MOUNTAINOUS FOREST

被引：0

作者：

Lin, C. ^{[1
]}

Lo, C. S. ^{[2
]}

Thomson, G. ^{[3
]}

Yang, M. S. ^{[1
]}

机构：

[1] Natl Chiayi Univ, Dept Forestry & Nat Resources, 300 Univ Rd, Chiayi 60004, Taiwan

[2] Natl Formosa Univ, Dept Multimedia Design, Taipei 63201, Taiwan

[3] Natl Formosa Univ, Dept Appl Foreign Languages, Yunlin 63201, Taiwan

来源：

NETWORKING THE WORLD WITH REMOTE SENSING | 2010年 / 38卷

关键词：

tree height estimation; diameter estimation; multi-level morphological active contour (MMAC) algorithm; lidar remote sensing; MULTISPECTRAL DATA; AIRBORNE LIDAR; BIOMASS; FUSION; VOLUME;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper applied the multi-level morphological active contour (MMAC) algorithm to the estimation of diameter at breast height (DBH), total height, and crown width of trees in mountainous forest based on rasterized airborne lidar data. The MMAC algorithm comprises three steps: a bottom up erosion (BUE) process to identify stand candidates, a top down dilation (TDD) process to estimate the crown periphery, and an active contour model (ACM) process to delineate crown contours. The total height (LH) and crown width (LCW) can be directly calculated by the MMAC method and then used as regressors in a multiple regression model for the estimation of diameter at breast height (LDBH). The results showed that the average estimation bias of LH, LCW, and LDBH is around 0.50 m, 2.54 m, and 8.7 cm respectively.

引用

页码：700 / 704

页数：5

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