Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic
The classical SURF algorithm has many disadvantages, such as high dimension of feature descriptor, large amount of computation, and low matching accuracy when the angle of rotation and angle of view is too large. To solve the above problems, an improved algorithm is proposed. Firstly, image preproce...
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| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Online Access: | https://ieeexplore.ieee.org/document/9183911/ |
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| _version_ | 1850085890097938432 |
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| author | Tian Zhang Rui Zhao Zhongsheng Chen |
| author_facet | Tian Zhang Rui Zhao Zhongsheng Chen |
| author_sort | Tian Zhang |
| collection | DOAJ |
| description | The classical SURF algorithm has many disadvantages, such as high dimension of feature descriptor, large amount of computation, and low matching accuracy when the angle of rotation and angle of view is too large. To solve the above problems, an improved algorithm is proposed. Firstly, image preprocessing is carried out by image binarization, feature points are extracted by Hes-sian matrix, and then feature description is carried out by using circular neighborhood of feature points. Har wavelet response is used to establish descriptors for each feature point, and the normalized gray-level difference and second-order gradient in the neighborhood are calculated simultaneously to form a new feature descriptor. Finally, the RANSAC algorithm is used to eliminate the mismatch points. The algorithm does not Compared with the classical SURF algorithm, it has the advantage of speed, and makes full use of the gray level information and the detail information, so it has higher accuracy. Experimental results show that the algorithm has good robustness and stability to image blur, illumination difference, angle rotation, field of view transformation and so on. The algorithm is applied to remote sensing image stitching to obtain the stitched image with no obvious geometric shift and good edge connection. This algorithm is a kind of image registration algorithm with short time and high precision, which can meet the registration requirements of remote sensing image stitching. |
| format | Article |
| id | doaj-art-705f8e167cf6450b899e103e935783a1 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-705f8e167cf6450b899e103e935783a12025-08-20T02:43:38ZengIEEEIEEE Access2169-35362020-01-01816363716364510.1109/ACCESS.2020.30208089183911Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image MosaicTian Zhang0Rui Zhao1https://orcid.org/0000-0003-0287-0870Zhongsheng Chen2https://orcid.org/0000-0002-3732-4231College of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, ChinaFaculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, AustraliaCollege of Land and Resources, China West Normal University, Nanchong, ChinaThe classical SURF algorithm has many disadvantages, such as high dimension of feature descriptor, large amount of computation, and low matching accuracy when the angle of rotation and angle of view is too large. To solve the above problems, an improved algorithm is proposed. Firstly, image preprocessing is carried out by image binarization, feature points are extracted by Hes-sian matrix, and then feature description is carried out by using circular neighborhood of feature points. Har wavelet response is used to establish descriptors for each feature point, and the normalized gray-level difference and second-order gradient in the neighborhood are calculated simultaneously to form a new feature descriptor. Finally, the RANSAC algorithm is used to eliminate the mismatch points. The algorithm does not Compared with the classical SURF algorithm, it has the advantage of speed, and makes full use of the gray level information and the detail information, so it has higher accuracy. Experimental results show that the algorithm has good robustness and stability to image blur, illumination difference, angle rotation, field of view transformation and so on. The algorithm is applied to remote sensing image stitching to obtain the stitched image with no obvious geometric shift and good edge connection. This algorithm is a kind of image registration algorithm with short time and high precision, which can meet the registration requirements of remote sensing image stitching.https://ieeexplore.ieee.org/document/9183911/ |
| spellingShingle | Tian Zhang Rui Zhao Zhongsheng Chen Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic IEEE Access |
| title | Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic |
| title_full | Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic |
| title_fullStr | Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic |
| title_full_unstemmed | Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic |
| title_short | Retracted: Application of Migration Image Registration Algorithm Based on Improved SURF in Remote Sensing Image Mosaic |
| title_sort | retracted application of migration image registration algorithm based on improved surf in remote sensing image mosaic |
| url | https://ieeexplore.ieee.org/document/9183911/ |
| work_keys_str_mv | AT tianzhang retractedapplicationofmigrationimageregistrationalgorithmbasedonimprovedsurfinremotesensingimagemosaic AT ruizhao retractedapplicationofmigrationimageregistrationalgorithmbasedonimprovedsurfinremotesensingimagemosaic AT zhongshengchen retractedapplicationofmigrationimageregistrationalgorithmbasedonimprovedsurfinremotesensingimagemosaic |