Urban Landscape Remote Sensing Image Fusion Based on 3D Box Dimension Algorithm

Remote sensing of urban landscape is a comprehensive detection method formed by using human visual characteristics to observe natural laws and man-made things and extract rich information from images. It features visibility, dynamics, and rapid analysis capabilities. We can improve the utilization efficiency of urban land resources and achieve sustainable development through the classification and planning of landscapes. This paper mainly uses the experimental method and the comparative method to analyze the urban landscape remote sensing image fusion in detail. The experimental data shows that the 3D box dimension value of different urban landscapes is around 2.9. Urban landscape remote sensing image fusion is a complex multi-source nonlinear, data point and regional coordinated development problem. The three-dimensional box dimension value measured in this paper is generally high, and it is necessary to optimize the accurate basic data and the calculation methods and algorithms built into the software.