Ulmr: an unsupervised learning framework for mismatch removal

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 . . .

 



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