UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 1 Issue 1
June-2014
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1401003


Registration ID:
140008

Page Number

8-18

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Title

Image Registration of Multi-View Satellite Images Using Best Feature Points Detection and Matching Methods from SURF, SIFT and PCA-SIFT

Abstract

Image Registration (IR) is a process of arranging two images (references and sense images) of the same scene taken at different times, from different sensors, and/or different viewpoints into a common coordinate system. There are four basic steps of image registration procedures: feature detection, feature matching, and transform model estimation and image transformation and re-sampling. In Multi-view analysis images of the same scene are acquired from different viewpoints. The aim behind this methodology is to gain larger a 2D view representation of the scanned scene. Features can be found by detection of point, interest points, corners, edges, lines, blobs, T-junctions etc. This paper summarizes the three robust feature detection and matching methods: Scale Invariant Feature Transform (SIFT), Principal Component Analysis (PCA)–SIFT and Speeded Up Robust Features (SURF). SIFT find its interest points using Difference of Gaussian (DoG). SIFT presents its stability in most situations although it’s slow. PCA-SIFT show its advantages in rotation and illumination change and it is faster than SIFT. SURF is the fastest one with good performance as the same as SIFT. ‘Fast-Hessian’ detector that used in SURF is more than 3 times faster that DOG

Key Words

Image Registration (IR), Scale Invariant Feature Transform (SIFT), Principal Component Analysis (PCA)-SIFT, Speeded Up Robust Feature (SURF)

Cite This Article

"Image Registration of Multi-View Satellite Images Using Best Feature Points Detection and Matching Methods from SURF, SIFT and PCA-SIFT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 1, page no.8-18, June-2014, Available :http://www.jetir.org/papers/JETIR1401003.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Image Registration of Multi-View Satellite Images Using Best Feature Points Detection and Matching Methods from SURF, SIFT and PCA-SIFT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 1, page no. pp8-18, June-2014, Available at : http://www.jetir.org/papers/JETIR1401003.pdf

Publication Details

Published Paper ID: JETIR1401003
Registration ID: 140008
Published In: Volume 1 | Issue 1 | Year June-2014
DOI (Digital Object Identifier):
Page No: 8-18
Country: Gandhinagar, Gujarat, India .
Area: Image Preocessing
ISSN Number: 2349-5162
Publisher: IJ Publication


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