DOI: 10.1016/j.jag.2014.07.004
Scopus记录号: 2-s2.0-84920646105
论文题名: Waveform-based point cloud classification in land-cover identification
作者: Tseng Y ; -H ; , Wang C ; -K ; , Chu H ; -J ; , Hung Y ; -C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 34, 期: 1 起始页码: 78
结束页码: 88
语种: 英语
英文关键词: Airborne LiDAR
; Full-waveform topographic LiDAR
; Optical image
; Point cloud classification
; Waveform feature
; Waveform-based classifiers
Scopus关键词: image analysis
; image classification
; land classification
; land cover
; lidar
; topographic mapping
; waveform analysis
英文摘要: Full-waveform topographic LiDAR data provide more detailed information about objects along the path of a laser pulse than discrete-return (echo) topographic LiDAR data. Full-waveform topographic LiDAR data consist of a succession of cross-section profiles of landscapes and each waveform can be decomposed into a sum of echoes. The echo number reveals critical information in classifying land cover types. Most land covers contain one echo, where as topographic LiDAR data in trees and roof edges contained multi-echo waveform features. To identify land-cover types, waveform-based classifier was integrated single-echoand multi-echo classifiers for point cloud classification. The experimental area was the Namasha district of Southern Taiwan, and the land-cover objects were categorized as roads, trees (canopy), grass (grass and crop), bare (bare ground), and buildings (buildings and roof edges). Waveform features were analyzed with respect to the single- and multi-echo laser-pathsamples, and the critical waveform features were selected according to the Bhattacharyya distance. Next, waveform-based classifiers were performed using support vector machine (SVM) with the local, spatial features of waveform topographic LiDAR information, and optical image information. Results showed that by using fused waveform and optical information, the waveform-based classifiers achieved the highest overall accuracy in identifying land-cover point clouds among the models, especially when compared toan echo-based classifier. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79522
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geomatics, National Cheng Kung University, No. 1, University Road, Tainan City, Taiwan
Recommended Citation:
Tseng Y,-H,, Wang C,et al. Waveform-based point cloud classification in land-cover identification[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,34(1)