Xue Dong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Xue Dong has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Fei Liu
Xidian University
3 shared publications - Meng Xiang
School of Optoelectronic Engineering, Xidian Univeristy, Xi’an 710071, China
2 shared publications - Pingli Han
School of Optoelectronic Engineering, Xidian Univeristy, Xi’an 710071, China
2 shared publications - Tong Zhang
School of Optoelectronic Engineering, Xidian Univeristy, Xi’an 710071, China
2 shared publications - Gang Li
Xian Research Institute of Surveying and Mapping, Xi’an 710054, China
1 shared publication - Jingbo Duan
School of Optoelectronic Engineering, Xidian Univeristy, Xi’an 710071, China
1 shared publication
Latest Publications
- Open Access
Polarization-Guided Blind Unmixing for Multi-Target Scattering Imaging Beyond the Optical Memory Effect
Multi-target imaging beyond the optical memory effect (OME) is fundamentally challenged by the incoherent superposition of speckles originating from different OME regions, which renders object separation highly ill-posed. To address this challenge, we introduce a polarization-guided blind unmixing framework that exploits the distinct polarization responses of different targets as an additional discrimination cue for speckle separation. Polarized speckles are first used to construct a dense polarization-response representation through Stokes-based synthesis. The resulting polarization diversity is leveraged to estimate the number of targets without prior knowledge and to identify structurally representative autocorrelation endmembers associated with different objects. An energy-constrained non-negative matrix factorization is then developed to separate individual target autocorrelations, followed by phase retrieval for object reconstruction. Experimental results demonstrate the reconstruction of up to five targets located beyond the OME range, achieving target separations of up to 2.6× the measured OME limit and peak signal-to-noise ratio (PSNR) values above 25 dB, without requiring prior knowledge of target locations, structures, polarization states, or target number.
Open AccessPolarization-Guided Blind Unmixing for Multi-Target Scattering Imaging Beyond the Optical Memory Effect
Multi-target imaging beyond the optical memory effect (OME) is fundamentally challenged by the incoherent superposition of speckles originating from different OME regions, which renders object separation highly ill-posed. To address this challenge, we introduce a polarization-guided blind unmixing framework that exploits the distinct polarization responses of different targets as an additional discrimination cue for speckle separation. Polarized speckles are first used to construct a dense polarization-response representation through Stokes-based synthesis. The resulting polarization diversity is leveraged to estimate the number of targets without prior knowledge and to identify structurally representative autocorrelation endmembers associated with different objects. An energy-constrained non-negative matrix factorization is then developed to separate individual target autocorrelations, followed by phase retrieval for object reconstruction. Experimental results demonstrate the reconstruction of up to five targets located beyond the OME range, achieving target separations of up to 2.6× the measured OME limit and peak signal-to-noise ratio (PSNR) values above 25 dB, without requiring prior knowledge of target locations, structures, polarization states, or target number.
- Open Access
Highly Integrated System Design for Wide-Field and High-Resolution Imaging with Ultra-Small-Pixel Sensor
This study introduces a novel imaging technology designed to address the critical challenges of high integration, wide field of view (FOV), and high-resolution detection in optoelectronic systems. The proposed approach leverages ultra-small pixels and a unique “single-eye + compound-eye” architecture, combining a concentric spherical lens for wide-FOV light collection with a distributed camera array for segmented imaging and stitching of the Petzval image plane. This design enables high-resolution imaging across a large area while maintaining compact system dimensions. The ultra-small-pixel large-format detector excels in capturing fine details, and by applying linear system theory, the technology achieves significant reductions in system size and complexity without compromising performance. Experimental validation shows that the imaging system achieves a modulation transfer function near the diffraction limit at 500 lp/mm, with a root-mean-square spot size consistently below 1 m. Additionally, the system delivers an angular resolution of 25 rad and distortion-free imaging over a FOV.Open AccessHighly Integrated System Design for Wide-Field and High-Resolution Imaging with Ultra-Small-Pixel Sensor
This study introduces a novel imaging technology designed to address the critical challenges of high integration, wide field of view (FOV), and high-resolution detection in optoelectronic systems. The proposed approach leverages ultra-small pixels and a unique “single-eye + compound-eye” architecture, combining a concentric spherical lens for wide-FOV light collection with a distributed camera array for segmented imaging and stitching of the Petzval image plane. This design enables high-resolution imaging across a large area while maintaining compact system dimensions. The ultra-small-pixel large-format detector excels in capturing fine details, and by applying linear system theory, the technology achieves significant reductions in system size and complexity without compromising performance. Experimental validation shows that the imaging system achieves a modulation transfer function near the diffraction limit at 500 lp/mm, with a root-mean-square spot size consistently below 1 m. Additionally, the system delivers an angular resolution of 25 rad and distortion-free imaging over a FOV. - Open Access
- 13 March 2024
- Published by MDPI AG in Remote Sensing
- Vol. 16 (6) , 1017
Multi-Aperture Joint-Encoding Fourier Ptychography for a Distributed System
High-resolution infrared remote sensing imaging is critical in planetary exploration, especially under demanding engineering conditions. However, due to diffraction, the spatial resolution of conventional methods is relatively low, and the spatial bandwidth product limits imaging systems’ design. Extensive research has been conducted with the aim of enhancing spatial resolution in remote sensing using a multi-aperture structure, but obtaining high-precision co-phase results using a sub-aperture remains challenging. A new high-resolution imaging method utilizing multi-aperture joint-encoding Fourier ptychography (JEFP) is proposed as a practical means to achieve super-resolution infrared imaging using distributed platforms. We demonstrated that the JEFP approach achieves pixel super-resolution with high efficiency, without requiring subsystems to perform mechanical scanning in space or to have high position accuracy. Our JEFP approach extends the application scope of Fourier ptychographic imaging, especially in distributed platforms for planetary exploration applications.
- 13 March 2024
- Published by MDPI AG in Remote Sensing
- Vol. 16 (6) , 1017
Open AccessMulti-Aperture Joint-Encoding Fourier Ptychography for a Distributed System
High-resolution infrared remote sensing imaging is critical in planetary exploration, especially under demanding engineering conditions. However, due to diffraction, the spatial resolution of conventional methods is relatively low, and the spatial bandwidth product limits imaging systems’ design. Extensive research has been conducted with the aim of enhancing spatial resolution in remote sensing using a multi-aperture structure, but obtaining high-precision co-phase results using a sub-aperture remains challenging. A new high-resolution imaging method utilizing multi-aperture joint-encoding Fourier ptychography (JEFP) is proposed as a practical means to achieve super-resolution infrared imaging using distributed platforms. We demonstrated that the JEFP approach achieves pixel super-resolution with high efficiency, without requiring subsystems to perform mechanical scanning in space or to have high position accuracy. Our JEFP approach extends the application scope of Fourier ptychographic imaging, especially in distributed platforms for planetary exploration applications.