@inproceedings{27242efa2cf3407790ab98399ec8b4f4,
title = "Shape-based tree crown detection and delineation in high spatial resolution aerial imagery",
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.",
keywords = "Delineation, Detection, Forest, Tree",
author = "Chen, {Min Hsin} and Chen, {Chi Farn} and Ma, {Shu Min}",
year = "2006",
language = "???core.languages.en_GB???",
isbn = "9781604231380",
series = "Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006",
pages = "498--503",
booktitle = "Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006",
note = "27th Asian Conference on Remote Sensing, ACRS 2006 ; Conference date: 09-10-2006 Through 13-10-2006",
}