Object Detection in Visible and Infrared missile borne fusion image

Author:

Xue Song1,Liu Yongfeng1,Xu Chao2,Li Jun1

Affiliation:

1. Army Academy of Artillery and Air Defense,Department of Weapons Engineering,Hefei,China

2. Postgraduate Team Army Academy of Artillery and Air Defense,Hefei,China

Publisher

IEEE

Reference24 articles.

1. Multimodal data fusion for object recognition

2. Multi-level image fusion and enhancement for target detection

3. YOLOv4: Optimal Speed and Accuracy of Object Detection;bochkovskiy;ArXiv,2020

4. Fusion of thermal infrared and visible spectra for robust moving object detection

5. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;ArXiv,2020

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1. Infrared and visible image fusion and detection based on interactive training strategy and feature filter extraction module;Optics & Laser Technology;2024-12

2. Estimating Actual Size of Missile on Air using Object Detection Algorithm;2024 IEEE Space, Aerospace and Defence Conference (SPACE);2024-07-22

3. Improved Multi-modal Image Fusion with Attention and Dense Networks: Visual and Quantitative Evaluation;Communications in Computer and Information Science;2024

4. YOLO4IIR: Infrared Image Recognition Model for Power Equipment Detection;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27

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