원문정보
초록
영어
Aiming at the problem of low accuracy of the target for one UAV (Unmanned Aerial Vehicle), an UAV target location method based on image matching is presented according to the data of video and photograph as well as the information of the digital map. Firstly, using the improved artificial matching method, the UAV aerial images are jointed based on the digital map to obtain the coordinates information. Then, the UAV video frame resolution containing the target is improved by the improving method of super-resolution reconstruction. Finally, making use of the improved SIFT algorithm, the video frames are registered with the aerial photo to complete the location of the target. Results prove that this method can achieve the target location without the UAV’s position and attitude information, while improving the precision and speed of target location, this method is an effective one for target location based on the image matching in the battlefield.
목차
1. Introduction
2. The Brief Introduction of the Target Position Process
3. The Improved Super-Resoulution Reconstruction Algorithm
4. The Improved SIFT Algorithm
5. Simulation Analysis
5.1 The Improved Super-Resolution Method
5.2 The Improved SIFT Algorithm
5.3 The Improved Artificial Choice of Site Registration
6. Experimental Verification
7. Conclusion
References