Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion-Reference-Cited by-同舟云学术

Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion

Published:2024 Issue: Volume:17 Page:13936-13948
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:

Zhao Xiaobin¹^ORCID,Huang Jun²^ORCID,Gao Yunquan²,Wang Qingwang³^ORCID

Affiliation:

1. Beijing Key Laboratory of Fractional Signals and Systems, School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet, Anhui University of Technology, Ma'anshan, China

3. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

Funder

China Postdoctoral Science Foundation

Open Fund of Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10623901.pdf?arnumber=10623901

Reference63 articles.

1. Improved YOLOv4 Marine Target Detection Combined with CBAM

2. Intelligent Marine Survey: Lightweight Multi-Scale Attention Adaptive Segmentation Framework for Underwater Target Detection of AUV

3. DF2Net: Differential Feature Fusion Network for Hyperspectral Image Classification

4. Hyperspectral pathology image classification using dimension-driven multi-path attention residual network

5. EHGNN: Enhanced Hypergraph Neural Network for Hyperspectral Image Classification