Rujin Zhao

Highly robust star identification for SINS/CNS integrated navigation via CCPBM feature construction and Manhattan-distance-based hierarchical matching

Chunfu Zhang, Hui Zhang, xiaodong gao, Hongfeng Long et autres

In airborne strapdown inertial navigation system/celestial navigation system (SINS/CNS) integrated navigation, vibration, high dynamics, occlusion, and stray light can cause centroid shifts, false stars, and missing stars, posing challenges to robust star identification, whereas enhancing interference resistance may increase computational and storage …

Three-Axis Error Equalization Attitude Determination for Spacecraft Based on Virtual Dual Field-of-View

Yihui Zhao, Yuebo Ma, Hongfeng Long, Yuyuan Liu et autres

Attitude determination serves as a critical foundation for spacecraft to accomplish various space missions. The conventional single field-of-view (FOV) operating mode of attitude sensors suffers from inherent observational geometric limitations, resultingin significantly larger errors for the boresight roll angle than for the …

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Event-based semantic segmentation of space targets with SNN-HRNet

Zifei Cao, Hongfeng Long, Zhenming Peng, Rujin Zhao

Space-target perception is essential for rendezvous, on-orbit servicing, and debris removal. To improve foreground-background segmentation in event-based space scenes, we propose an SNN-HRNet framework for space-target semantic segmentation. We use an SNN-based HRNet backbone to extract multi-scale spatiotemporal features while preserving high-resolution …

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MAFNet: Multi-frequency Adaptive Fusion Network for Real-time Stereo Matching

Ao Xu, Rujin Zhao, Xiong Xu, Yujia Jia et autres

Existing stereo matching networks typically rely on either cost-volume construction based on 3D convolutions or deformation methods based on iterative optimization. The former incurs significant computational overhead during cost aggregation, whereas the latter often lacks the ability to model non-local contextual information. …

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A Threshold-Optimized Stacking Ensemble Framework for Lung Cancer Metastasis Prediction on Imbalanced Clinical Data

Zhenyuan Xu, Rujin Zhao, Zhi Yang, Qinyi Li

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AGMN: A Data-Driven Adaptive Gated Multimodal Model to Assist in the Analysis of Lung Cancer Subtype Classification

Zhenyuan Xu, Xingchen Yao, Yuan Zhu, Rujin Zhao

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Study of dynamic analysis method based on laser Doppler Vibrometry technology

Xiang Peng, Mu Gu, Sujun Li, Qifeng Ren et autres

• Unified Doppler signal math model. • SCI-DFT method for Vibrometry. • Bessel-based harmonic analysis. • A low-cost, FPGA-free LDVib System. Laser Doppler measurement technology is gaining increasing attention and application in modern high-precision measurement due to its excellent characteristics such as …

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SAANet: Detecting Dense and Crossed Stripe-like Space Objects Under Complex Stray Light Interference

Yuyuan Liu, Hongfeng Long, Zhuo Chen, Yuebo Ma et autres

With the deployment of mega-constellations, the proliferation of on-orbit Resident Space Objects (RSOs) poses a severe challenge to Space Situational Awareness (SSA). RSOs produce elongated and stripe-like signatures in long-exposure imagery as a result of their relative orbital motion. The accurate detection …

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LMF-Net: A Lunar Multifocus Image Fusion and High-Fidelity Detail Reconstruction Network for Double-Blur Transition Regions

Yuhao Zhang, Rujin Zhao, Hongfeng Long, Xiangying Lu et autres

High-quality lunar imaging is essential to terrain modeling, resource assessment, and landing navigation. However, due to the limited depth-of-field of lunar probe cameras, a single image cannot simultaneously capture clear near-field details and far-field structures. Although multi-focus image fusion (MFIF) alleviates this …

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A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions

Hui Zhang, Liang Fang, Xiaodong Gao, Kaili Lu et autres

To address the lack of reliable test data for evaluating star sensor performance in dynamic airborne environments, this paper presents a high-fidelity star map simulation method for all-time three-Field of View (FOV) star sensors. A comprehensive simulation framework integrating stellar radiation, atmospheric …

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A Stacking-Based Machine Learning Approach for Early Gastric Cancer Subtype Prediction

Zhen-Yuan Xu, Qinyi Li, M. Mo, Rujin Zhao

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Event-based structured light 3D reconstruction driven by spiking neural networks

Zifei Cao, Hongfeng Long, Zhen Liang, Yuebo Ma et autres

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