Description: High-resolution multimodal images are advanced data capture techniques that integrate information from multiple modalities, such as optical, thermal, radar, and acoustic images, to create detailed and accurate representations of an object or environment. These images combine different types of data, allowing for a more comprehensive and rich understanding of the analyzed scene. High resolution refers to the ability to capture fine details, which is crucial in applications where precision is fundamental. The main features of these images include data fusion, which allows for the integration of information from different sources, and image quality enhancement, which optimizes visualization and analysis. The relevance of high-resolution multimodal images lies in their ability to provide a holistic view in various fields, including medicine, surveillance, agriculture, and scientific research, where integrating data from different modalities can reveal patterns and details that would not be evident when observing a single source of information.
