Deep-Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review-Reference-Cited by-同舟云学术

Deep-Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review

Published:2024 Issue: Volume:17 Page:1390-1418
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:

Hasan Kazi Rakib¹^ORCID,Tuli Anamika Biswas¹^ORCID,Khan Md. Al-Masrur²^ORCID,Kee Seong-Hoon²^ORCID,Samad Md Abdus³^ORCID,Nahid Abdullah-Al¹^ORCID

Affiliation:

1. Electronics and Communication Engineering Discipline, Khulna University, Khulna, Bangladesh

2. Department of ICT Integrated Ocean Smart Cities Engineering, Dong-A University, Busan, South Korea

3. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference78 articles.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Semantic Segmentation by Using Deep learning methods;2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE);2024-02-23

2. A Review of Optical and SAR Image Deep Feature Fusion in Semantic Segmentation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024