Moving Target Imaging via Computational Ghost Imaging Combined With Artificial Bee Colony Optimization
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology, Beijing, China
2. School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
Civil Aerospace Technology Project of China
Beijing Institute of Technology Research Fund Program for Young Scholars
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09729222.pdf?arnumber=9729222
Reference33 articles.
1. Experimental comparison of single-pixel imaging algorithms
2. Hadamard–Transform Image Scanning
3. Principles and prospects for single-pixel imaging
4. On the performance of artificial bee colony (ABC) algorithm
5. Ghost imaging lidar via sparsity constraints
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