Multispectral Image Matching Using SIFT and SURF Algorithm: A Review

SIFT and SURF image matching were used in many industries such as survey and mapping, geology, medical and automotive. Multispectral sensors offered today become new challenge for researchers to study the performances of SIFT and SURF algorithms on multispectral image. Basically, multispectral image...

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Bibliographic Details
Published in:International Journal of Geoinformatics
Main Author: Shaharom M.F.M.; Tahar K.N.
Format: Review
Language:English
Published: Association for Geoinformation Technology 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149421493&doi=10.52939%2fijg.v19i1.2495&partnerID=40&md5=ed2b13281752e4c72b7a3c940a0746dd
id 2-s2.0-85149421493
spelling 2-s2.0-85149421493
Shaharom M.F.M.; Tahar K.N.
Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
2023
International Journal of Geoinformatics
19
1
10.52939/ijg.v19i1.2495
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149421493&doi=10.52939%2fijg.v19i1.2495&partnerID=40&md5=ed2b13281752e4c72b7a3c940a0746dd
SIFT and SURF image matching were used in many industries such as survey and mapping, geology, medical and automotive. Multispectral sensors offered today become new challenge for researchers to study the performances of SIFT and SURF algorithms on multispectral image. Basically, multispectral image consists of more than three bands. As a result, the differences between those bands leads to nonlinear intensity between images. Both algorithm detectors using ‘blob detector’ that extracting the feature points as a key point for image matching later on. Hence, the less visibility of the feature on the multispectral images was one of the issues need to be solved. Many researchers investigate and propose a new strategy to extract and match the feature point using SIFT and SURF on multispectral image. The image fusions, combinations of different descriptors and revised or alteration of the algorithm themselves were among the approached taken by researchers in order to achieved good results. © Geoinformatics International.
Association for Geoinformation Technology
16866576
English
Review
All Open Access; Hybrid Gold Open Access
author Shaharom M.F.M.; Tahar K.N.
spellingShingle Shaharom M.F.M.; Tahar K.N.
Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
author_facet Shaharom M.F.M.; Tahar K.N.
author_sort Shaharom M.F.M.; Tahar K.N.
title Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
title_short Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
title_full Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
title_fullStr Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
title_full_unstemmed Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
title_sort Multispectral Image Matching Using SIFT and SURF Algorithm: A Review
publishDate 2023
container_title International Journal of Geoinformatics
container_volume 19
container_issue 1
doi_str_mv 10.52939/ijg.v19i1.2495
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149421493&doi=10.52939%2fijg.v19i1.2495&partnerID=40&md5=ed2b13281752e4c72b7a3c940a0746dd
description SIFT and SURF image matching were used in many industries such as survey and mapping, geology, medical and automotive. Multispectral sensors offered today become new challenge for researchers to study the performances of SIFT and SURF algorithms on multispectral image. Basically, multispectral image consists of more than three bands. As a result, the differences between those bands leads to nonlinear intensity between images. Both algorithm detectors using ‘blob detector’ that extracting the feature points as a key point for image matching later on. Hence, the less visibility of the feature on the multispectral images was one of the issues need to be solved. Many researchers investigate and propose a new strategy to extract and match the feature point using SIFT and SURF on multispectral image. The image fusions, combinations of different descriptors and revised or alteration of the algorithm themselves were among the approached taken by researchers in order to achieved good results. © Geoinformatics International.
publisher Association for Geoinformation Technology
issn 16866576
language English
format Review
accesstype All Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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