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SAR image registration based on KECA-SAR-SIFT operator | IEEE Conference Publication | IEEE Xplore

SAR image registration based on KECA-SAR-SIFT operator

Publisher: IEEE

Abstract:

Synthetic aperture radar (SAR) image registration is a key technology in SAR image processing. The accuracy and efficiency of registration directly affect the quality of ...View more

Abstract:

Synthetic aperture radar (SAR) image registration is a key technology in SAR image processing. The accuracy and efficiency of registration directly affect the quality of subsequent image processing. In order to further improve the accuracy and computational efficiency of the traditional SAR-SIFT (SAR-scale invariant feature transform, SAR-SIFT) image registration algorithm, an improved SAR-SIFT algorithm based on Kernel entropy component analysis (KECA) is proposed. Firstly, the SAR-Harris scale space is established, the extreme points in the space are selected and the main directions of the key points are calculated; then, the SAR-SIFT descriptor is generated, and the KECA algorithm is used for further feature extraction, and the KECA-SAR-SIFT descriptors is obtained after dimensionality reduction; finally, feature points of two or more pictures are matched by comparing the similarity of the extracted descriptors. The experimental results showed that the proposed method effectively improved the matching accuracy, shortened the matching time, and had certain robustness.
Date of Conference: 23-25 September 2022
Date Added to IEEE Xplore: 22 November 2022
ISBN Information:
Publisher: IEEE
Conference Location: Nanjing, China

Funding Agency:


I. Introduction

Synthetic Aperture Radar(SAR) is an active microwave imaging system with the advantages of all-day, all-weather, large bandwidth and high resolution[1]. It's widely used in various fields of civil and military, such as environmental monitoring, disaster prevention and relief, resource exploration, agricultural production assessment and intelligence gathering, and has achieved fruitful results[2].

References

References is not available for this document.