Analysis of UAV Planning Path in Address Surveying Based on Improved SIFT Algorithm
Qin Yang, Gang Huang · 2024
The purpose of the research and development of UAV(Unmanned Aerial Vehicle) application in the field of communication survey is to replace the traditional manual exploration, fault detection and maintenance, and apply it to the communication network survey and maintenance with efficient performance advantages. As a new type of equipment, UAV has unique technical advantages and attracts more and more attention from research departments. With the continuous development and progress of science, higher requirements have been put forward for the performance of UAV. As a result, drones are also being improved, from auxiliary equipment to main station equipment in modern warfare. Currently, UAV path planning mainly relies on manual planning, and there are problems such as subjectivity, low accuracy, low efficiency, and inability to adapt to dynamic changes. To address this problem, this article introduces the SIFT (Scale Invariant Feature Transform) algorithm and conducts research on the optimization of UAV planning paths in address surveying based on the improved SIFT algorithm. This article achieves efficient feature extraction and matching of geospatial data by improving the SIFT algorithm, obtains more accurate and comprehensive map information, and plans routes. According to experimental tests, it is found that using the improved SIFT algorithm to plan UAV flight paths is highly effective and balanced, providing a new optimization solution for address mapping and geographical information application fields.