Homogeneous tree height derivation from tree crown delineation using Seeded Region Growing (SRG) segmentation
نویسندگان
چکیده
منابع مشابه
Segmentation using the Seeded Region Growing (SRG) algorithm
The segmentation process was performed on the basis of print-tip groups. Applied sequentially on each print-tip group, the segmentation started with a fixed number of foreground seeds centered at the seed point generated from the gridding procedure. A foreground seed was here defined as a square 30 μm by 30 μm region forming the initial foreground region for each spot. Foreground regions were s...
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Efficient forest management requires detailed knowledge of forest stands, including species information and individual tree parameters. Remote sensing data are increasingly being used to investigate forest classification at both coarse and fine levels. In this paper, we first examined the capability of QuickBird multispectral imagery for species level forest classification using eCognition soft...
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With the development of remote sensing techniques, parameters of individual trees for forest inventory can be extracted efficiently from high-resolution remote sensing imagery or LiDAR (light detection and ranging) data rather than using field surveys [1]-[4]. As a prerequisite step, individual tree crown (ITC) delineation from highresolution imagery or LiDAR data is one critical issue in curre...
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In recent years, airborne Light Detection and Ranging (LiDAR) that provided three-dimensional forest information has been widely applied in forest inventory and has shown great potential in automatic individual tree crown delineation (ITCD). Usually, ITCD algorithms include treetop detection and crown boundary delineation procedures. In this study, we proposed a novel method called region-based...
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ژورنال
عنوان ژورنال: Geo-spatial Information Science
سال: 2020
ISSN: 1009-5020,1993-5153
DOI: 10.1080/10095020.2020.1805366