Infrared Weak and Small Target Detection Algorithm Based on Deep Learning

Lei Wang; Jun Yu

doi:10.2478/ijanmc-2024-0026

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Infrared Weak and Small Target Detection Algorithm Based on Deep Learning

International Journal of Advanced Network, Monitoring and Controls

Volume 9 (2024): Issue 3 (September 2024)

By: Lei Wang and Jun Yu

Open Access

|Sep 2024

Figures & Tables

TABLE I.

experimental environment

Experimental environment	Version
CPU	IntelCorei7-11800H
GPU	NVIDIA GeForce RTX2080 Ti
Language	Python3.8
Deep Learning Framework	Pytorch1.14.0
CUDA	11.8.0

TABLE II.

Ccomparison of algorithm enhancements

index algorithm	PSNR	SSIM	Entropy	AG	EME
Original image			6.2850	41.9135	2.6388
SSR	28.2970	0.85522	5.7150	44.2675	2.8967
MSR	28.7772	0.8676	6.2176	44.9135	2.8932
DDE	36.0989	0.9679	6.4594	44.2206	2.6857
Bilateral filtering	34.6621	0.8395	6.3155	21.7407	1.4891
DDE+MSR	28.7581	0.8436	6.2793	46.8969	2.8882

TABLE III.

Comparative experiments of different parameters of shape-iou

s	0.1	0.2	0.3	0.4	0.5	0.6	1.0
mAP(%)	83.5	83.4	84.9	85.3	84.8	83.5	83.4

TABLE IV.

Compares the experimental results

EMA	CMAixing	Shape-IoU	ATFL	P/%	R/%	AP/%	Param/10⁶
				73.2	75.2	84.6	32.81
√				72.2	76.3	85.5	33.40
	√			74.8	75.2	85.6	34.97
√	√			74.1	75.0	86.2	35.23
		√	√	75.5	76.2	85.9	32.81
√	√	√	√	75.4	77.1	87.8	35.23

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Articles in this issue

DOI: https://doi.org/10.2478/ijanmc-2024-0026 | Journal eISSN: 2470-8038

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Language: English

Page range: 47 - 55

Published on: Sep 30, 2024

Published by: Xi’an Technological University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

RT-DETR,

EMA,

CAMixing,

Shape-IoU

Related subjects:

Computer sciences,

Computer sciences, other

© 2024 Lei Wang, Jun Yu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 9 (2024): Issue 3 (September 2024)

Infrared Weak and Small Target Detection Algorithm Based on Deep Learning

Figures & Tables

Figure 1.

Figure 2

Figure 3.

TABLE I.

Figure 4.

TABLE II.

TABLE III.

Figure 5.

Figure 6.

TABLE IV.

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