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A novel approach for individual tree...

Liu, Tao.

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A novel approach for individual tree crown delineation using lidar data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A novel approach for individual tree crown delineation using lidar data./
作者:	Liu, Tao.
面頁冊數:	59 p.
附註:	Source: Masters Abstracts International, Volume: 53-03.
Contained By:	Masters Abstracts International53-03(E).
標題:	Remote Sensing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1560744
ISBN:	9781321044744

A novel approach for individual tree crown delineation using lidar data.
Liu, Tao.

A novel approach for individual tree crown delineation using lidar data. - 59 p.

Source: Masters Abstracts International, Volume: 53-03.

Thesis (M.S.)--State University of New York College of Environmental Science and Forestry, 2014.

This item must not be sold to any third party vendors.

Individual tree crown delineation (ITCD) is an important technique to support precision forestry. ITCD is particularly difficult for deciduous forests where the existence of multiple branches can lead to false tree top detection. This thesis focused on developing a new ITCD model, which consists of two components: (1) boundary refinement using a novel algorithm called Fishing Net Dragging (FiND), and (2) segment merging using boundary classification. The proposed ITCD model was tested in both deciduous and mixed forests, attaining an overall accuracy of 74% and 78%, respectively. This compared favorably to an ITCD method commonly cited in the literature, which attained 41% and 51% on the same plots. To facilitate comparison of research in the ITCD community, this thesis also developed a new accuracy assessment scheme for ITCD. This new accuracy assessment is easy to interpret and convenient to implement while comprehensively evaluating ITCD accuracy.

ISBN: 9781321044744Subjects--Topical Terms:

1018559
Remote Sensing.

A novel approach for individual tree crown delineation using lidar data.
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502 $a Thesis (M.S.)--State University of New York College of Environmental Science and Forestry, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a Individual tree crown delineation (ITCD) is an important technique to support precision forestry. ITCD is particularly difficult for deciduous forests where the existence of multiple branches can lead to false tree top detection. This thesis focused on developing a new ITCD model, which consists of two components: (1) boundary refinement using a novel algorithm called Fishing Net Dragging (FiND), and (2) segment merging using boundary classification. The proposed ITCD model was tested in both deciduous and mixed forests, attaining an overall accuracy of 74% and 78%, respectively. This compared favorably to an ITCD method commonly cited in the literature, which attained 41% and 51% on the same plots. To facilitate comparison of research in the ITCD community, this thesis also developed a new accuracy assessment scheme for ITCD. This new accuracy assessment is easy to interpret and convenient to implement while comprehensively evaluating ITCD accuracy.
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