Dlafnet: A Direct Fusion Method of 2D Aerial Image and 3D Lidar Point Cloud for Semantic Segmentation-Reference-Cited by-同舟云学术

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Dlafnet: A Direct Fusion Method of 2D Aerial Image and 3D Lidar Point Cloud for Semantic Segmentation

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Liu Wei¹,Wang He²,Qiao Yicheng³,Liang Bin¹,Yang Junli⁴,Zhang Haopeng⁵

Affiliation:

1. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876

2. Beihang University,Sino-French Engineer School,Beijing,China,100191

3. Beijing Sport University,School of Sports Engineering,Beijing,China,100091

4. Beijing University of Posts and Telecommunications,International School,Beijing,China,100876

5. Beihang University,School of Astronautics,Beijing,China,102206

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282837.pdf?arnumber=10282837

Reference11 articles.

1. Squeeze-and-Excitation Networks

2. Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing

3. Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

4. Segformer: Simple and efficient design for semantic segmentation with transformers;xie;Advances in neural information processing systems,2021

5. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;International Conference on Learning Representations (ICLR),2021

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