Automatic Stem Mapping in Three Dimensions by Template Matching from Aerial Photographs
Automatic Stem Mapping in Three Dimensions by Template Matching from Aerial Photographs
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DOI：
10.1080/02827580260138107
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发表时间：
2002-01
影响因子：
1.8
通讯作者：
M. J. Tarp-Johansen
中科院分区：
文献类型：
--
作者：
M. J. Tarp-Johansen
遥感技术的最新发展在利用森林的高分辨率图像对单株树木进行检测和物种分类方面显示出有希望的结果。现有的图像分析算法在观测图像中生成二维干图。本文提出了一种新的算法，将现有的模板匹配算法进行推广，生成落叶条件下森林三维树干图。介绍了一种生成人工模板图像的自包含算法。将图像分析算法应用于丹麦标准造林处理下生长的栎树（Quercus robur L.）。一项分析的检出率在85-98%之间，茎基坐标在x、y和z方向上的均方根误差分别低于8.1、7.6和20.5 cm。结果表明，制作相当精确的三维茎图是可行的。
Recent developments in remote sensing have shown promising results for the detection and species classification of individual trees from high-resolution imagery of forests in leaf-on condition. Existing image-analysis algorithms produce a two-dimensional stem map in the observed imagery. This paper develops a new algorithm that generalizes existing template-matching algorithms to produce a stem map in the three dimensions of a forest in leaf-off condition. A self-contained algorithm to produce artificial template images is introduced. The image-analysis algorithm was applied to oak ( Quercus robur L.) grown under standard silvicultural treatment in Denmark. One analysis gave detection rates in the range 85-98% and root mean squared errors on the stem base coordinates below 8.1, 7.6 and 20.5 cm in the x -, y - and z -directions, respectively. It is concluded that it is indeed feasible to produce a quite accurate three-dimensional stem map.