Integration Transformer for Ground-Based Cloud Image Segmentation-Reference-Cited by-同舟云学术

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Integration Transformer for Ground-Based Cloud Image Segmentation

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Shuang¹^ORCID,Zhang Jiafeng¹^ORCID,Zhang Zhong¹^ORCID,Cao Xiaozhong²^ORCID,Durrani Tariq S.³^ORCID

Affiliation:

1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China

2. Meteorological Observation Centre, China Meteorological Administration, Beijing, China

3. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin

Scientific Research Project of Tianjin Educational Committee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10097465.pdf?arnumber=10097465

Reference64 articles.

1. A Novel Method for Ground-Based Cloud Image Classification Using Transformer

2. Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

3. Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras

4. Visual transformers: Token-based image representation and processing for computer vision;wu;arXiv 2006 03677,2020

5. Classification of Ground-Based Cloud Images by Improved Combined Convolutional Network

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2. C-LiSA: A Hierarchical Hybrid Transformer Model Using Orthogonal Cross Attention for Satellite Image Cloud Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2024

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