원문정보
초록
영어
Automatic registration is one of the key technologies for remote sensing image processing．Considering the influence of cloud points, the phenomenon of uneven distributed control points and other problems in the process of registration for the widely used AVHRR remote sensing images, an automatic registration method for AVHRR remote sensing images is proposed. In this method, the cloud points are detected firstly. Then, a Harris corner detection method with adaptive threshold is used to extract feature points in the overlapping region of the referenced image and the original AVHRR remote sensing image. After that, an automatic matching method based on image blocking and area constraints condition is adopted. Finally, the geometric precision correction is performed to realize the registration. Experimental result shows that this method can not only obtain even distributed control point pairs and avoid the interference of cloud points, but also improve the accuracy and efficiency of registration for AVHRR remote sensing images.
목차
1. Introduction
2. The Basic Process of Automatic Registration Method for AVHRR Remote Sensing Images
3. The Key Algorithms and Improvements
3.1. Cloud Points Detection OSTU Method
3.2. Harris Corner Feature Extraction Method based on Adaptive Threshold
3.3. The Corelation-coefficient Matching based on Area Constraints Condition
3.4. Extraction Strategy of Control Point Pairs based on Image Blocking and Cloud Point Detection Method
4. Experiment and Analysis
5. Conclusion
Acknowledgment
References