Thermal Image

Thermal imaging, capturing infrared radiation emitted by objects, offers valuable information complementary to visible light imagery, particularly in challenging conditions like low light or adverse weather. Current research focuses on improving thermal image analysis through deep learning, employing architectures like convolutional neural networks (CNNs), transformers, and generative adversarial networks (GANs) for tasks such as object detection, scene reconstruction (including novel view synthesis using NeRFs), and image super-resolution. These advancements are significantly impacting diverse fields, including infrastructure inspection, autonomous driving, medical diagnostics, and agricultural monitoring, by enabling more robust and efficient solutions for various applications.