Image Fusion For Improved Situational Awareness In Military Operations Using Machine Learning

Image fusion is an essential technique used in various military applications to provide a comprehensive view of the target area by integrating multiple images from various sensors. This technique helps in detecting threats, identifying targets, and analyzing the situation to make informed decisions. The use of image fusion in military areas enhances the performance of the systems by providing high-resolution images that can be used to obtain valuable insights. The application of image fusion in military areas involves the use of various sensors such as thermal, infrared, and visual sensors, which capture images with different spectral and spatial resolutions. The images are then fused to create a single image that provides more detailed information about the target area. Image fusion techniques involve various algorithms, including multi-resolution analysis, wavelet transforms, and others, which are used to combine the images. In military areas, image fusion is used for a variety of tasks such as surveillance, reconnaissance, and target detection. The use of image fusion enables military personnel to detect threats more efficiently and provides them with the ability to analyze the situation with more clarity. Furthermore, image fusion allows for better situational awareness and facilitates quick decision-making. In conclusion, the application of image fusion in military areas has significant benefits in detecting threats and other resolution work-based performance.