Multiscale Neighborhood Information Fusion Network for Classification of Remote Sensing LiDAR Images-Reference-Cited by-同舟云学术

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Multiscale Neighborhood Information Fusion Network for Classification of Remote Sensing LiDAR Images

Published:2024-05-15 Issue:10 Volume:24 Page:16601-16613
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Dong Jiao¹,Liu Kaiqi²^ORCID,Han Jiawei²^ORCID,Zhang Mengmeng²^ORCID,Zhao Xudong²^ORCID,Li Wei²^ORCID,Xiong Li³,Rao Mengbin³

Affiliation:

1. School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China

2. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

3. Information Science Academy, China Electronics Technology Group Corporation, Beijing, China

Funder

National Natural Science Foundation of China

State Key Laboratory of Intelligent Green Vehicle and Mobility

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10530892/10499997.pdf?arnumber=10499997

Reference44 articles.

1. Relevance assessment of full-waveform lidar data for urban area classification

2. From Point Cloud to Grid DEM: A Scalable Approach

3. Forest variable estimation using a high-resolution digital surface model

4. Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles

5. Semantic Segmentation of LiDAR Points Clouds: Rasterization Beyond Digital Elevation Models

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