GSGNet-S*: Graph Semantic Guidance Network via Knowledge Distillation for Optical Remote Sensing Image Scene Analysis-Reference-Cited by-同舟云学术

GSGNet-S*: Graph Semantic Guidance Network via Knowledge Distillation for Optical Remote Sensing Image Scene Analysis

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:

Zhou Wujie¹^ORCID,Li Yangzhen¹,Huang Juan²,Yan Weiqing³^ORCID,Fang Meixin⁴,Jiang Qiuping⁵^ORCID

Affiliation:

1. School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China

2. School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China

3. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

4. Children’s Hospital of Zhejiang University School of Medicine, Zhejiang, China

5. School of Information Science and Engineering, Ningbo University, Ningbo, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Zhejiang Province Public Welfare Research Project

Ningbo Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10316305.pdf?arnumber=10316305

Reference54 articles.

1. Infrared and Visible Image Fusion via Multiscale Receptive Field Amplification Fusion Network

2. Progressive adjacent-layer coordination symmetric cascade network for semantic segmentation of multimodal remote sensing images;fan;Expert Syst Appl,2023

3. GCSANet: A Global Context Spatial Attention Deep Learning Network for Remote Sensing Scene Classification

4. HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images

5. CGINet: Cross-modality grade interaction network for RGB-T crowd counting