A Prediction Algorithm for Improving the Efficiency of China's Civil Aviation Cargo Revenue Based on Remote Sensing Data

With the development of the global integration process and the rapid growth of international trade, my country's air cargo has entered a new stage of vigorous development. Driven by the country’s "open sky" wave, my country’s airlines are facing tremendous development opportunities as well as severe challenges in their cargo operations. How to improve the income management level of air cargo has become the primary problem that Chinese airlines urgently need to solve. Based on the hyperspectral remote sensing image data, this paper establishes a prediction model for improving the efficiency of China's civil aviation cargo revenue, and accurately predicts the order volume, profit coefficient, and total revenue of civil aviation cargo.