HIGHLIGHTS
- who: Cailong Deng and colleagues from the School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China have published the research work: ULMR: An Unsupervised Learning Framework for Mismatch Removal, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
- what: To achieve the unsupervised classification of matching outliers and inliers, the authors propose a framework named unsupervised learning for mismatch removal (ULMR), from the perspective of DRL.
- how: This paper proposes an unsupervised learning method for mismatch removal (named ULMR).
SUMMARY
Obtaining reliable matching points . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.