Shape-based tree crown detection and delineation in high spatial resolution aerial imagery

Min Hsin Chen, Chi Farn Chen, Shu Min Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For the purpose of forest management, the ground survey has long been used for the investigation of the forest resources. A lot of automatic researches on remote sensing images have been developed to improve the efficiency of the ground survey, especially in the domain of treetop detection and tree crown delineation. The purpose of this study is to develop an image processing technique to detect and to delineate the tree crown from high spatial resolution aerial photography. The major concept of the method is to design the tree morphology to perform the tree detection and delineation. The methodology can be dividing into three steps: (1) the extraction of the tree objects, (2) the construction of the tree structure for the morphological operation, and (3) the accomplishment of the tree detection and delineation. The proposed method is tested for aerial photography, and the results of this study show that the tree crowns can be successfully detected and delineated from the remote sensing images.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006
Pages498-503
Number of pages6
StatePublished - 2006
Event27th Asian Conference on Remote Sensing, ACRS 2006 - Ulaanbaatar, Mongolia
Duration: 9 Oct 200613 Oct 2006

Publication series

NameAsian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006

Conference

Conference27th Asian Conference on Remote Sensing, ACRS 2006
Country/TerritoryMongolia
CityUlaanbaatar
Period9/10/0613/10/06

Keywords

  • Delineation
  • Detection
  • Forest
  • Tree

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