Research Article
Image Registration Model For Remote Sensing Images
@ARTICLE{10.4108/eai.21-12-2018.159333, author={Sabeen Gul and Sheeraz Memon and Bushra Naz}, title={Image Registration Model For Remote Sensing Images}, journal={EAI Endorsed Transactions on Internet of Things}, volume={4}, number={16}, publisher={EAI}, journal_a={IOT}, year={2018}, month={10}, keywords={Image registration, SIFT, KNN, RANSAC, High Resolution Images}, doi={10.4108/eai.21-12-2018.159333} }- Sabeen Gul
Sheeraz Memon
Bushra Naz
Year: 2018
Image Registration Model For Remote Sensing Images
IOT
EAI
DOI: 10.4108/eai.21-12-2018.159333
Abstract
Image registration is the vital technology in computer vision. By developing precise image registration algorithm will meaningfully improve the techniques for the problems in computer vision. Registration process does geometrical alteration that aligns point present in one view of an object with similar points in another view of that object or another object .Steps involved in image registration are feature finding, matching of features, image transformation and resampling. Feature finding and matching have vital role in accuracy of the process. In this paper we have used SIFT (Scale Invariant Feature Transform) for the feature detection which is invariant to scaling, rotation and noise. KNN nearest neighbor is used for matching similar points and the other efficient method in reducing miss matches in the proposed algorithm is Random sample consensus method.
Copyright © 2018 Sabeen Gul et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
