Comparison of aerial target recognition methods based on ISAR imagery
Author:
Affiliation:
1. University of Aerospace Engineering,Department of Electronic and Optical Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9929429/9929329/09930013.pdf?arnumber=9930013
Reference5 articles.
1. retracted article: PM2.5 Air Pollution Source Analysis Based on Image Recognition and Tracking of Exercise Training Process;yanxi;Arab Journal of Earth Sciences,2021
2. Air Target Recognition Algorithm based on Mixed Depth Features in the Interference Environment
3. Mobile Phone Model Identification Method Based on Twin Convolutional Neural Network [J];honggui;Journal of Beijing University of Technology,2021
4. Deep Neural Network Model Analysis for Image Recognition Application;lin;Journal of Intelligent & Fuzzy Systems,2021
5. Remote Sensing Image Scene Classification: Benchmark and State of the Art
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