Threshold Attention Network for Semantic Segmentation of Remote Sensing Images-Reference-Cited by-同舟云学术

Threshold Attention Network for Semantic Segmentation of Remote Sensing Images

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:

Long Wei¹^ORCID,Zhang Yongjun¹^ORCID,Cui Zhongwei²^ORCID,Xu Yujie¹^ORCID,Zhang Xuexue¹^ORCID

Affiliation:

1. Text Computing and Cognitive Intelligence Engineering Research Center of National Education Ministry, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, China

2. School of Mathematics and Big Data, Guizhou Education University, Guiyang, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10124446.pdf?arnumber=10124446

Reference50 articles.

1. Instance-Level Human Parsing via Part Grouping Network

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3. LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images

4. AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation

5. Encoder–decoder with atrous separable convolution for semantic image segmentation;chen;Proc Eur Conf Comput Vis (ECCV),2018

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