A review on the improvement of remote sensing image object detection methods based on the YOLO series algorithms
Object detection in remote sensing images is critical for disaster monitoring, urban planning, and low-altitude defense. However, challenges such as extremely small target scales, complex background interference, and limited edge computing power hinder the performance of standard algorithms. This paper provides a syste...