AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES

In order to improve the image registration accuracy of heterogeneous remote sensing images with large radiation differences, an improved image registration algorithm for thermal infrared and panchromatic images is proposed. This method uses the phase consistency of intensity and direction to constru...

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Main Authors: J. Xie, X. Lv, C. Chu, R. Liu, F. Mo, B. Li, C. Wang
Format: Article
Language:English
Published: Copernicus Publications 2023-12-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-annals.copernicus.org/articles/X-1-W1-2023/145/2023/isprs-annals-X-1-W1-2023-145-2023.pdf
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author J. Xie
X. Lv
X. Lv
C. Chu
R. Liu
F. Mo
B. Li
B. Li
B. Li
C. Wang
author_facet J. Xie
X. Lv
X. Lv
C. Chu
R. Liu
F. Mo
B. Li
B. Li
B. Li
C. Wang
author_sort J. Xie
collection DOAJ
description In order to improve the image registration accuracy of heterogeneous remote sensing images with large radiation differences, an improved image registration algorithm for thermal infrared and panchromatic images is proposed. This method uses the phase consistency of intensity and direction to construct a geometric structure feature descriptor called the Histogram of Oriented Phase Congruency (HOPC) for image registration. It employs the Curvature Scale Space (CSS) corner detection to concentrate and extract feature points in contour areas, and defines a similarity metric (called HOPCn) based on the Euclidean distance between the descriptors for high-precision heterogeneous images registration. Five sets of panchromatic and thermal infrared images were selected for verification. The results show that the improved algorithm can match the homonymy points around the image contour, and the Correct Matching Rate (CMR) is improved by 2.7% and the Root Mean Square Error (RMSE) is improved by 3.7% compared to the original algorithm. This proves that the proposed method has good robustness under conditions of large radiation differences.
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spelling doaj.art-b936ff9cabc04da695f44fccd94d1cca2023-12-05T23:35:13ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502023-12-01X-1-W1-202314515210.5194/isprs-annals-X-1-W1-2023-145-2023AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIESJ. Xie0X. Lv1X. Lv2C. Chu3R. Liu4F. Mo5B. Li6B. Li7B. Li8C. Wang9Land Satellite Remote Sensing Application Center, Beijing 100048, ChinaLand Satellite Remote Sensing Application Center, Beijing 100048, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, ChinaSchool of Geomatics Liaoning Technical University, Fuxin 123 000, ChinaLand Satellite Remote Sensing Application Center, Beijing 100048, ChinaLand Satellite Remote Sensing Application Center, Beijing 100048, ChinaLand Satellite Remote Sensing Application Center, Beijing 100048, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing 100048, ChinaState Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, ChinaIn order to improve the image registration accuracy of heterogeneous remote sensing images with large radiation differences, an improved image registration algorithm for thermal infrared and panchromatic images is proposed. This method uses the phase consistency of intensity and direction to construct a geometric structure feature descriptor called the Histogram of Oriented Phase Congruency (HOPC) for image registration. It employs the Curvature Scale Space (CSS) corner detection to concentrate and extract feature points in contour areas, and defines a similarity metric (called HOPCn) based on the Euclidean distance between the descriptors for high-precision heterogeneous images registration. Five sets of panchromatic and thermal infrared images were selected for verification. The results show that the improved algorithm can match the homonymy points around the image contour, and the Correct Matching Rate (CMR) is improved by 2.7% and the Root Mean Square Error (RMSE) is improved by 3.7% compared to the original algorithm. This proves that the proposed method has good robustness under conditions of large radiation differences.https://isprs-annals.copernicus.org/articles/X-1-W1-2023/145/2023/isprs-annals-X-1-W1-2023-145-2023.pdf
spellingShingle J. Xie
X. Lv
X. Lv
C. Chu
R. Liu
F. Mo
B. Li
B. Li
B. Li
C. Wang
AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
title_full AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
title_fullStr AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
title_full_unstemmed AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
title_short AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
title_sort improved image registration algorithm for thermal infrared and panchromatic image based on geometric structural properties
url https://isprs-annals.copernicus.org/articles/X-1-W1-2023/145/2023/isprs-annals-X-1-W1-2023-145-2023.pdf
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