Image reconnaissance systems are critical in modern applications, where the ability to accurately detect and identify objects is crucial. However, distortions in real-world operational conditions, such as motion blur, noise, and compression artifacts, often degrade image quality, affecting the performance of detection systems. This study analyzed the impact of super-resolution (SR) technology, in particular, the Real-ESRGAN model, on the performance of a detection model under disturbed conditions. The methodology involved training and evaluating the Faster R-CNN detection model with original and modified data sets. The results showed that SR significantly improved detection precision and mAP in most interference scenarios. These findings underscore SR's potential to improve imaging systems while identifying key areas for future development and further research.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3390/s24247977 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimization of Imaging Reconnaissance Systems Using Super-Resolution: Efficiency Analysis in Interference Conditions.
Sensors (Basel)
December 2024
Institute of Communication Systems, Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.
Image reconnaissance systems are critical in modern applications, where the ability to accurately detect and identify objects is crucial. However, distortions in real-world operational conditions, such as motion blur, noise, and compression artifacts, often degrade image quality, affecting the performance of detection systems. This study analyzed the impact of super-resolution (SR) technology, in particular, the Real-ESRGAN model, on the performance of a detection model under disturbed conditions.
View Article and Find Full Text PDFDesign and Implementation of a CMOS-MEMS Out-of-Plane Detection Gyroscope.
Micromachines (Basel)
December 2024
Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China.
A MEMS gyroscope is a critical sensor in attitude control platforms and inertial navigation systems, which has the advantages of small size, light weight, low energy consumption, high reliability and strong anti-interference capability. This paper presents the design, simulation and fabrication of a Y-axis gyroscope with out-of-plane detection developed using CMOS-MEMS technology. The structural dimensions of the gyroscope were optimized through a multi-objective genetic algorithm, and modal, harmonic response and range simulation analyses were carried out to verify the reasonableness of the design.
View Article and Find Full Text PDFVisualized neural network-based vibration control for pigeon-like flexible flapping wings.
ISA Trans
January 2025
School of Artificial Intelligence, Anhui University, Hefei 230601, China. Electronic address:
This study investigates pigeon-like flexible flapping wings, which are known for their low energy consumption, high flexibility, and lightweight design. However, such flexible flapping wing systems are prone to deformation and vibration during flight, leading to performance degradation. It is thus necessary to design a control method to effectively manage the vibration of flexible wings.
View Article and Find Full Text PDFBipolar Modulation in a Self-Powered Ultra-Wide Photodetector Based on BiSe/AlInAsSb Heterojunction for Wavelength-Sensitive Imaging and Encrypted Optical Communication.
Adv Mater
December 2024
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China.
Broadband photodetectors (PDs) have garnered significant attention due to their ability to detect optical signals across a wide wavelength range, with applications spanning military reconnaissance, environmental monitoring, and medical imaging. However, existing broadband detectors face several practical challenges, including limited detection range, uneven photoresponse, and difficult to distinguish multispectral signals. To address these limitations, this study presents a self-powered ultra-wide PD based on the BiSe/AlInAsSb heterojunction.
View Article and Find Full Text PDFSpatial distribution of Q fever in sheep and goats of selective villages of Punjab Province, Pakistan.
BMC Vet Res
December 2024
Friedrich-Loeffler-Institut, Institute of Bacterial Infections and Zoonoses, 07743, Jena, Germany.
This study aimed to assess the geographical distribution of Q fever in sheep and goats in different areas of Punjab, Pakistan. Three hundred blood samples of small ruminants including sheep and goats were collected from 60 villages of three districts (Okara, Kasur, and Pakpattan) of Punjab Province Pakistan and tested for the detection of anti-Coxiella burnetii antibodies using a commercial Indirect ELISA kit. Data related to sampling location, host species, gender, age, and GPS coordinates were collected for spatial analysis.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!