气候变化领域集成服务门户(CCPortal): LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas

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DOI	10.3390/ijgi9070450
	LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas
	Ye, Zhen; Xu, Yusheng; Huang, Rong; Tong, Xiaohua; Li, Xin; Liu, Xiangfeng; Luan, Kuifeng; Hoegner, Ludwig; Stilla, Uwe
通讯作者	Xu, YS (通讯作者)
发表日期	2020
EISSN	2220-9964
卷号	9 期号:7
英文摘要	The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this task with a possible solution using 3D point clouds, which are accessible, affordable, accurate, and applicable. Among all types of platforms, the airborne platform with LiDAR can serve as an efficient and effective tool for large-scale 3D mapping in the urban area. Against this background, a large number of algorithms and methods have been developed to fully explore the potential of 3D point clouds. However, the creation of publicly accessible large-scale annotated datasets, which are critical for assessing the performance of the developed algorithms and methods, is still at an early age. In this work, we present a large-scale aerial LiDAR point cloud dataset acquired in a highly-dense and complex urban area for the evaluation of semantic labeling methods. This dataset covers an urban area with highly-dense buildings of approximately 1 km(2)and includes more than three million points with five classes of objects labeled. Moreover, experiments are carried out with the results from several baseline methods, demonstrating the feasibility and capability of the dataset serving as a benchmark for assessing semantic labeling methods.
关键词	ALS POINT CLOUDS CONTEXTUAL CLASSIFICATION SEGMENTATION REGISTRATION
英文关键词	ALS point clouds; semantic labeling; highly-dense urban area; benchmark dataset
语种	英语
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS记录号	WOS:000557679700001
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259837
推荐引用方式 GB/T 7714	Ye, Zhen,Xu, Yusheng,Huang, Rong,et al. LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas[J]. 中国科学院青藏高原研究所,2020,9(7).
APA	Ye, Zhen.,Xu, Yusheng.,Huang, Rong.,Tong, Xiaohua.,Li, Xin.,...&Stilla, Uwe.(2020).LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(7).
MLA	Ye, Zhen,et al."LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.7(2020).