Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models
Atmospheric turbulence has a degrading effect on the image quality of long-range observation systems. As a result of various elements such as temperature, wind velocity, humidity, etc., turbulence is characterized by random fluctuations in the refractive index of the atmosphere. It is a phenomenon that may occur in various imaging spectra such as the visible or the infrared bands. In this paper, we analyze the effects of atmospheric turbulence on object detection performance in thermal imagery. We use a geometric turbulence model to simulate turbulence effects on a medium-scale thermal image set, namely "FLIR ADAS v2". We apply thermal domain adaptation to state-of-the-art object detectors and propose a data augmentation strategy to increase the performance of object detectors which utilizes turbulent images in different severity levels as training data. Our results show that the proposed data augmentation strategy yields an increase in performance for both turbulent and non-turbulent thermal test images.
Code (0)
등록된 구현이 없습니다.
Tasks
Data AugmentationDomain AdaptationObjectobject-detectionObject DetectionSimilar Papers 제목 키워드 기반
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
Atmospheric turbulence poses a significant challenge to the performance of object detection models. Turbulence causes distortions, blurring, and noise in images by bending and scattering light rays due to variations in t…
Image AugmentationObjectobject-detectionObject DetectionThermal to Visible Image Synthesis under Atmospheric Turbulence
In many practical applications of long-range imaging such as biometrics and surveillance, thermal imagining modalities are often used to capture images in low-light and nighttime conditions. However, such imaging systems…
Face VerificationImage GenerationTranslationDeep learning for enhanced free-space optical communications
Atmospheric effects, such as turbulence and background thermal noise, inhibit the propagation of coherent light used in ON-OFF keying free-space optical communication. Here we present and experimentally validate a convol…
Deep LearningReal-World Atmospheric Turbulence Correction via Domain Adaptation
Atmospheric turbulence, a common phenomenon in daily life, is primarily caused by the uneven heating of the Earth's surface. This phenomenon results in distorted and blurred acquired images or videos and can significantl…
Domain AdaptationSimplified Performance Analysis of OWC System Over Atmospheric Turbulence with Pointing Error
Optical wireless communication (OWC) is highly vulnerable to the atmospheric turbulence and pointing error. Performance analysis of the OWC system under the combined channel effects of pointing errors and atmospheric tur…