Swin-Conv-Dspp and Global Local Transformer for Remote Sensing Image Semantic Segmentation-Reference-Cited by-同舟云学术

Swin-Conv-Dspp and Global Local Transformer for Remote Sensing Image Semantic Segmentation

Published:2023 Issue: Volume:16 Page:5284-5296
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Mo Youda¹^ORCID,Li Huihui²^ORCID,Xiao Xiangling¹^ORCID,Zhao Huimin¹^ORCID,Liu Xiaoyong³^ORCID,Zhan Jin¹^ORCID

Affiliation:

1. School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China

2. School of Computer Science and Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou, China

3. School of Data Science and Engineering, Guangdong Polytechnic Normal University, Guangzhou, China

Funder

National Natural Science Foundation of China

The Ministry of Education of Humanities and Social Science Project

Guangdong Science and Technology Project

Project of Education Department of Guangdong Province

Guangdong Science and Technology Innovation Strategy Special Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10137390.pdf?arnumber=10137390

Reference69 articles.

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3. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

4. Rethinking atrous convolution for semantic image segmentation;chen,2017

5. Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution

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