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Sökning: id:"swepub:oai:DiVA.org:ltu-87700" > Automatic feature e...

Automatic feature extraction and matching modelling for highly noise near-equatorial satellite images

Dibs, Hayder (författare)
Water Resources Management Department, Water Resources Engineering Faculty, Al-Qasim Green University, Babel, 51001, Iraq; Iraqi Environment Upgrading and Development Organization, Karbala, Iraq
Hasab, Hashim Ali (författare)
Architectural Design and Decoration Department, Technical Institute of Najaf, Al-Furat Al-Awsat Technical University, Najaf, Iraq
Jaber, Hussein Sabah (författare)
Surveying Engineering Department, College of Engineering, University of Baghdad, Baghdad, Iraq
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Al-Ansari, Nadhir, 1947- (författare)
Luleå tekniska universitet,Geoteknologi
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 (creator_code:org_t)
2021-10-12
2022
Engelska.
Ingår i: Innovative Infrastructure Solutions. - : Springer. - 2364-4176 .- 2364-4184. ; 7:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Feature extraction plays an important role in pattern recognition because band-to-band registration and geometric correction from different satellite images have linear image distortion. However, new near-equatorial orbital satellite system (NEqO) images is different because they have nonlinear distortion. Conventional techniques cannot overcome this type of distortion and lead to the extraction of false features and incorrect image matching. This research presents a new method by improving the performance of the Scale-Invariant Feature Transformation (SIFT) with a significantly higher rate of true extracted features and their correct matching. The data in this study were obtained from the RazakSAT satellite covering a part of Penang state, Malaysia. The method consists of many stages: image band selection, image band compression, image sharpening, automatic feature extraction, and applying the sum of absolute difference algorithm with an experimental and empirical threshold. We evaluate a refined features scenario by comparing the result of the original extracted SIFT features with corresponding features of the proposed method. The result indicates accurate and precise performance of the proposed method from removing false SIFT extracted features of satellite images and remain only true SIFT extracted features, that leads to reduce the extracted feature from using three frame size: (1) from 2000 to 750, 552 and 92 for the green and red bands image, (2) from 678 extracted control points to be 193, 228 and 73 between the green and blue bands, and (3) from 1995 extracted CPs to be 656, 733, and 556 between the green and near-infrared bands, respectively.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Geotechnical Engineering (hsv//eng)

Nyckelord

Feature extraction
Image matching
Near-equatorial satellite system
SIFT algorithm
Nonlinear distortion
Soil Mechanics
Geoteknik

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