Urban Landscape Information Extraction Based on Uav Commercial Photography Image

Abstract

In the overall pattern planning of urban green landscape construction, it is necessary to solve the problem of feature quantification in the pattern analysis of urban green landscape. This paper introduces a UAV panoramic image registration algorithm: surf, which is based on SIFT algorithm and fast robust feature extraction and standard matching algorithm. By filtering and matching the images of multiple flight belts of UAV, the algorithm can delete the wrong matching points and then calculate them. The images of multiple flight belts in the acquired region of interest are spliced. Compared with the traditional algorithm, this algorithm has the advantages of high precision and high resolution, and has the advantages of high flexibility and low cost. It provides a new method for earthquake prevention and relief, environmental monitoring and land dynamic detection.