Differential Evolution-Based Sample Consensus Algorithm for the Matching of Remote Sensing Optical Images With Affine Geometric Differences

Differential Evolution-Based Sample Consensus Algorithm for the Matching of Remote Sensing Optical Images With Affine Geometric Differences

Optical image matching has been a recent trend in the field of remote sensing image processing. It is considered as a challenging problem due to the existence of significant geometric variations as well as intensity differences between the images. Scale invariant feature transform (SIFT) is one of t...

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Bibliographic Details
Main Authors: Sourabh Paul, Ravi Tiwari, Amit Kumar Rahul, Manoj Kumar Singh, Pratham Gupta
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Scale-invariant feature transform (SIFT)
differential evolution (DE)
sample consensus algorithm (SCA)
Online Access:https://ieeexplore.ieee.org/document/10497603/

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