A Synergistical Attention Model for Semantic Segmentation of Remote Sensing Images-Reference-Cited by-同舟云学术

A Synergistical Attention Model for Semantic Segmentation of Remote Sensing Images

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Xin¹^ORCID,Xu Feng¹^ORCID,Liu Fan¹,Lyu Xin¹^ORCID,Tong Yao²^ORCID,Xu Zhennan¹^ORCID,Zhou Jun³

Affiliation:

1. College of Computer and Information and the Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, China

2. School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China

3. School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia

Funder

Excellent Post-Doctoral Program of Jiangsu Province

National Natural Science Foundation of China

Project of Water Science and Technology of Jiangsu Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10041998.pdf?arnumber=10041998

Reference67 articles.

1. When Pansharpening Meets Graph Convolution Network and Knowledge Distillation

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4. Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images

5. Fully convolutional networks for semantic segmentation

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