TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery
TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery
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DOI：
10.1016/s0098-3004(00)00110-2
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发表时间：
2002-02-01
影响因子：
4.4
通讯作者：
Culvenor, DS
中科院分区：
文献类型：
--
作者：
Culvenor, DS
森林的多种用途的可持续管理需要一系列属性的精细资源信息。遥感图像如果得到适当的解释，可以为获取森林信息提供详细的定量数据。本文介绍了树木识别和描绘算法（TIDA），这是一种图像分析工具，旨在在高空间分辨率数字图像中自动描绘树冠。 （局部）辐射最大值和最小值是用于树冠描绘过程的主要图像特征，分别表示树冠质心和边界。 TIDA 是为应用于澳大利亚本土桉树森林的图像而开发的，并使用“自上而下”的空间聚类方法，其中涉及旨在减少树冠分割影响的关键步骤。描述了算法的假设和基本过程，给出了输出和性能考虑因素的示例，并讨论了可能的限制。 (C) 2002 Elsevier Science Ltd. 保留所有权利。
The sustainable management of forests for multiple uses requires fine-scale resource information for a range of attributes. Remotely sensed imagery, if appropriately interpreted, can provide detailed, quantitative data for deriving forest information. This paper describes the tree identification and delineation algorithm (TIDA), an image analysis toot designed to delineate tree crowns automatically in high spatial resolution digital imagery. The (local) radiometric maxima and minima are the primary image features used for the crown delineation process, being indicative of crown centroids and boundaries, respectively. TIDA was developed for application to imagery of native Eucalypt forests in Australia, and uses a 'top-down' spatial clustering approach involving key steps designed to reduce the effects of crown segmentation. The assumptions and fundamental processes of the algorithm are described, examples of the output and performance considerations are given, and possible limitations are discussed. (C) 2002 Elsevier Science Ltd. All rights reserved.