High-Resolution Remote Sensing Image Semantic Segmentation via Multiscale Context and Linear Self-Attention-Reference-Cited by-同舟云学术

High-Resolution Remote Sensing Image Semantic Segmentation via Multiscale Context and Linear Self-Attention

Published:2022 Issue: Volume:15 Page:9174-9185
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:

Yin Peng¹^ORCID,Zhang Dongmei¹^ORCID,Han Wei¹^ORCID,Li Jiang²^ORCID,Cheng Jianmei¹

Affiliation:

1. China University of Geosciences, Wuhan, China

2. Department of Natural Resources of Hubei Province, Information Center, Wuhan, China

Funder

National Natural Science Foundation of China

Hubei Provincial Department of Natural Resources

Hubei Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference56 articles.

2. Neural machine translation by jointly learning to align and translate;bahdanau,2014

5. Fastfcn: Rethinking dilated convolution in the backbone for semantic segmentation;wu,2019

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