RailSeg: Learning Local–Global Feature Aggregation With Contextual Information for Railway Point Cloud Semantic Segmentation-Reference-Cited by-同舟云学术

RailSeg: Learning Local–Global Feature Aggregation With Contextual Information for Railway Point Cloud Semantic Segmentation

Author:

Jiang Tengping¹^ORCID,Yang Bisheng²^ORCID,Wang Yongjun¹^ORCID,Dai Lei²,Qiu Bo²^ORCID,Liu Shan¹,Li Shiwei¹,Zhang Qinyu¹,Jin Xin³^ORCID,Zeng Wenjun³

Affiliation:

1. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

3. Eastern Institute for Advanced Study (EIAS)/Eastern Institute of Technology (EIT), Ningbo, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Key Project of the National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference117 articles.

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