This invention relates to a method for identifying the optimal
landing point of a magnetically attached seismic source for unmanned aerial vehicles (UAVs), belonging to the field of geophysical exploration technology. Addressing the problems of excitation failure and equipment damage caused by the "blind landing" of existing UAV seismic sources, this method utilizes a multimodal sensor module consisting of an RGB camera,
LiDAR, and multispectral camera mounted on the UAV to collect data such as surface slope, elevation variance, obstacle height, and geological material. A weighted scoring model is constructed based on four criteria:
coupling, safety, proximity, and feasibility. Three task
modes—high precision, efficiency priority, and safety in complex
terrain—are adopted for dynamic weight
adaptation to quantitatively screen candidate points with the best comprehensive
score. An integrated spindle-shaped seismic source ensures stable landing attitude, and the
landing point is autonomously verified by the
machine after determination. This method solves the problem of lack of
environmental perception, achieves intelligent
landing point selection, avoids re-explosive firing operations, and significantly improves the accuracy, reliability, and efficiency of UAV seismic source operations.