Enhancing Forest Fire Detection Accuracy of UAV Remote Sensing Technoloy Using Retinex Theory Algorithm

Abstract

This paper focuses on the application of UAV remote sensing technology in forest fire monitoring based on Retinex theory algorithm. This paper expounds the principle and development of Retinex theory algorithm, and introduces the principle and advantages of UAV remote sensing technology. The application status of UAV remote sensing technology in forest fire monitoring is analyzed, and the problem of image definition reduction caused by illumination and smoke is pointed out. This paper discusses the role of Retinex theory algorithm in improving image quality, and enumerates practical cases to analyze its effect and verify the practicability and feasibility of the algorithm in forest fire monitoring, in order to provide more accurate and efficient technical support for forest fire monitoring.