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Student Number 93322087
Author Shu-Min Ma(馬淑敏)
Author's Email Address 93322087@cc.ncu.edu.tw
Statistics This thesis had been viewed 1840 times. Download 974 times.
Department Civil Engineering
Year 2005
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title Tree Crown Detection and Delineation in High Spatial Resolution Remotely Sensed Image
Date of Defense 2006-06-19
Page Count 138
Keyword
  • Delineation
  • Detection
  • Individual Tree
  • Morphology
  • Tree Crown
  • Abstract The survey of forest resources is an important task for the management and protection of the forest. Traditionally, such an essential task is heavily dependent on the labor-intensive ground survey. Although numerous state-of-the-art equipments have been developed to improve the efficiency of the ground survey, a lot of researches have been using remote sensing images for the forest survey, especially in the domain of the automatic detection of individual tree and the delineation of tree crown. The type of tree in the image not only contains individual tree, but also contains tree clump caused by over short distance between trees. Therefore, the purpose of this study is to detect and delineate the individual tree and tree clump in the image.
    The purpose of this study is to develop a new approach to detect the individual tree and to delineate the tree crown from high spatial resolution aerial photography. The method is based on the concept of mathematical morphology to perform the tree detection and delineation. The algorithm can be dividing into three steps: (1) the extraction of the tree objects, (2) the construction of the multi-size tree structure elements for the morphological operation, and (3) the accomplishment of the tree detection and delineation. 
    The test data for this study are high spatial resolution digital aerial photography, and the species of trees on the test data are Hardwood. The distribution type of trees on the test data contain of multi-size individual trees and tree clumps with multi-size trees. The accuracy of the detection is approximately 98.8%, and the accuracy of delineation is approximately 92.9%. In this study, multi-size individual trees and the tree of the tree clumps can be detected effectively, and the tree crown also could be delineated accurately.
    Table of Content 摘要 I
    Abstract II
    致謝 III
    目錄 IV
    圖目錄 VI
    表目錄 XIII
    第一章序論1
    1-1  研究動機與目的1
    1-2  文獻回顧3
      1-2-1  立木偵測4
      1-2-2  樹冠描繪8
    1-3  章節簡介15
    第二章  研究方法16
    2-1 樹物件的萃取17
      2-1-1常態化植生指標17
      2-1-2 影像二值化19
    2-2多尺度立木結構元的建構25
      2-2-1 偵測單一立木27
      2-2-2 多尺度立木的分類31
    2-3 立木偵測及樹冠描繪33
      2-3-1 立木偵測33
      2-3-2 樹冠描繪40
    第三章測試影像45
    3-1 測試影像相機45
    3-2 測試影像47
    第四章測試成果與討論51
    4-1 測試成果51
    4-2 精度評估93
      4-2-1 立木個數偵測精度93
      4-2-2 樹冠範圍描繪精度98
    第五章結論與建議128
    5-1 結論128
    5-2 建議134
    參考文獻135
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    Advisor
  • Chi-Farn Chen(陳繼藩)
  • Files
  • 93322087.pdf
  • approve in 1 year
    Date of Submission 2006-07-11

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