A data processing algorithm for unmanned aerial vehicle images based on SURF and SVM
MA Xiaoxiao
YU Gang
LI Changchun
Abstract：The unmaned aerial vehicle( UAV) remote sensing system is becoming increasingly prominent in the field of exploration and rescue,disaster assessment and reconstruction etc. Untill now,two key technologies of UAV image data processing ( fast matching and information extraction ) are still under research. In order to solve the problems of using SURF algorithm and SVM algorithm. The comparision of SURF-64 and SURF-36 is done. The experimental results show that choosing a 64 dimensional vectors to describe the feature points is more suitable for UAV image data processing. It has advantages of efficient,accurate and fast matching. Mean-while,two kinds of improved SVM algorithms are employed to extract information from the matched-image and comparing with the traditional SVM algorithm. The experimental results show that the two improved algorithm can improve and enhance in the accuracy of information extraction and generalization ability.
Keywords：SURFSVMUAV imagesdata processing
Publication Date：2017-11-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 69-74 )