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Additionally, we introduce FIMPDIoU to enhance the detection accuracy, resulting in overall performance surpassing YOLOv8. YOLO-SGF achieves an accuracy of 90.5 % for object detection in infrared images, while reducing the computational complexity by 42.0 %, and decreasing the parameters by 50.0 %.
5 dni temu · However, the texture information in the infrared image is not readily discernible. In contrast, the visible image contains abundant texture and scene appearance information, yet capturing concealed targets under low illumination conditions remains challenging for visible sensors. ... (PLCC) is employed for the computation of prediction accuracy ...
26 mar 2024 · JWST is an infrared telescope, meaning it "looks" at the universe in wavelengths of light that are longer than that of red light, which has the longest wavelength we can detect with our eyes....
9 cze 2023 · Then, we proposed a hybrid loss function to guide the network in extracting salient features from thermal infrared images and reference images while maintaining accurate thermal information.
19 lut 2019 · Providing an accurate answer can be often be tricky, since a variety of factors can impact the results: The amount of IR light. The camera’s sensor. The specific lens. The wavelength of the IR filter. The manufacturer of the IR filter. Whether you shoot RAW or JPEG. How the camera processes RAW or JPEG files.
7 gru 2023 · Meteorological noise is caused by atmospheric moisture and aerosols including air turbulence, hot air waves, and atmospheric scattering. This noise can cause artifacts, fringes, and false targets in infrared images, affecting the accuracy of small-target detection.
This paper deals with two aspects of photogrammetric processing of thermal images: image quality and 3D reconstruction quality. The first aspect of the paper relates to the influence of day light on Thermal InfraRed (TIR) images captured by an Unmanned Aerial Vehicle (UAV).
