Multiplication extended Kalman filter-aided non-blind star image restoration algorithm based on the heterogeneous blur kernel
Regular Papers|Updated:2025-11-18
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Multiplication extended Kalman filter-aided non-blind star image restoration algorithm based on the heterogeneous blur kernel
基于异质模糊核的乘性扩展卡尔曼滤波辅助非盲星图像复原算法
“In the field of star sensor technology, a multiplication extended Kalman filter (MEKF)-aided non-blind star image restoration algorithm based on the heterogeneous blur kernel has been proposed. This method enhances the dynamic performance of the star sensor by fusing MEKF and a heterogeneous blur kernel, significantly improving robustness against noise and restoration accuracy.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 10, Pages: 1913-1925(2025)
Affiliations:
1.Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China
2.Huanjiang Laboratory, Zhuji 311899, China
3.Key Laboratory of Micro-Nano Satellite Research Zhejiang Province, Hangzhou 310027, China
Yang LIU, Huajian DENG, Hao WANG, et al. Multiplication extended Kalman filter-aided non-blind star image restoration algorithm based on the heterogeneous blur kernel[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1913-1925.
DOI:
Yang LIU, Huajian DENG, Hao WANG, et al. Multiplication extended Kalman filter-aided non-blind star image restoration algorithm based on the heterogeneous blur kernel[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1913-1925. DOI: 10.1631/FITEE.2500193.
Multiplication extended Kalman filter-aided non-blind star image restoration algorithm based on the heterogeneous blur kernel