A Simulated Remote Sensing Dataset Based on 1064nm Laser Illumination

Based on the analysis of laser characteristics, we have created a simulated dataset of near-infrared images of 1064nm laser spots. The spot collection process was carried out under natural light conditions. The divergence phenomenon during laser irradiation was excluded because the emitted 1064nm laser spots are adjustable. Without considering the energy loss of the laser in natural light and atmospheric turbulence, the collected near-infrared laser spot image information was reasonably spliced with images from the HRSC dataset, which includes target image information processed after laser irradiation. During the simulation experiment, it is necessary to ensure the accuracy and stability of the laser irradiation to guarantee that the collected image information has high clarity and accuracy. At the same time, for different types of target objects, such as aircraft, hulls, and vehicles, appropriate processing and recognition must be carried out according to their characteristics and shapes to ensure the authenticity and credibility of the composite images. Additionally, the design and adjustment of the optical path system must be considered to maximize image quality and resolution. The construction of this dataset is expected to fill the research gap in existing laser spot datasets for the 1064nm near-infrared band, providing richer data resources for related fields of study.