Investigation of Aircraft Target Detection of Remote Sensing Images Based on the Improved YOLOv5
Author:
Affiliation:
1. Civil Aviation Flight University of China,Aviation Electronics and Electrical Institute,Chengdu,China
Funder
Civil Aviation Administration of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10410268/10410287/10410368.pdf?arnumber=10410368
Reference19 articles.
1. Airplane detection based on rotation invariant and sparse coding in remote sensing images
2. Elliptic Fourier transformation-based histograms of oriented gradients for rotationally invariant object detection in remote-sensing images
3. Faster r-cnn: Towards real-time object detection with region proposal networks;Ren;Advances in neural information processing systems,2015
4. SSD: Single Shot MultiBox Detector
5. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy,2020
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