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Zhang X.,Soochow University of China | Zhang X.,Key Laboratory of Advanced Optical Manufacturing Technologies of Education Ministry of China | Feng J.,Soochow University of China | Feng J.,Key Laboratory of Advanced Optical Manufacturing Technologies of Education Ministry of China | And 6 more authors.
Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams | Year: 2014

Advanced laser systems with high power, good beam quality and strong stability are always the research objectives. Volume Bragg diffractive elements recorded in photo-thermo-refractive glass have become one of the keys to the advanced laser technology development owing to their excellent optical property and diffractive ability. A detailed introduction to the applications and principles in the advanced laser technology with volume Bragg elements of different structures, including near-field filtering, spectral combining, semiconductor external-cavity spectral stabilization and chirped pulse broadening and compression, is presented. Source


Wei X.,Soochow University of China | Wei X.,Key Laboratory of Modern Optical Technologies of Jiangsu Province | Xu F.,Soochow University of China | Xu F.,Key Laboratory of Modern Optical Technologies of Jiangsu Province | And 2 more authors.
Zhongguo Jiguang/Chinese Journal of Lasers | Year: 2012

The coaxial three-mirror optical system has the advantage of small volume, easy to assembly and high quality image, which can be widely used in the field of aerospace remote sensing. The initial configuration parameters of the system are resolved by using the primary aberration theory, a coaxial field-bias three-mirror optical system with a focal length of 25 m and F number of 12.5 is designed. The design results show that the field of view of the system can attain to 0.6°×0.3° by offsetting the rectangle field with low parasitic light and compact structure, by using the folded mirror, the total length is about f'/6.0~f'/6.6, which is suitable for linear array time-debyed-integration charge coupled device (TDI-CCD) sensor to push-scanning image. The modulation transfer function (MTF) is higher than 0.47 at 50 lp/mm and the image quality of the optical system approaches the diffraction limit. The optical system provides a good option for the field of high-resolution space-to-earth fine observation. Source


Chen Y.,Soochow University of China | Chen Y.,Key Laboratory of Advanced Optical Manufacturing Technologies of Jiangsu Province | Chen Y.,Key Laboratory of Modern Optical Technologies of Jiangsu Province | Chen Y.,Key Laboratory of Modern Optical Technologies of Ministry of Education and Jiangsu Province | And 16 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2012

Compressive spectral imaging is a kind of novel spectral imaging technique that combines traditional spectral imaging method with new concept of compressive sensing. Spatial coding compressive spectral imaging realizes snapshot imaging and the dimension reduction of the acquisition data cube by successive modulation, dispersion and stacking of the light signal. It reduces acquisition data amount, increases imaging signal-to-noise ratio, realizes snapshot imaging for large field of view and has already been applied in the occasions such as high-speed imaging, fluorescent imaging and so on. In this paper, the physical model for single dispersion spatial coding compressive spectral imaging is reviewed on which the data flow procession is analyzed and its reconstruction issue is concluded. The existing sparse reconstruction methods are investigated and specific module based on the two-step iterative shrinkage/thresholding algorithm is built so as to execute the imaging data reconstruction. A regularizer based on the total-variation form is included in the unconstrained minimization problem so that the smooth extent of the restored data cube can be controlled by altering its tuning parameter. To verify the system modeling and data reconstruction method, a simulation imaging experiment is carried out, for which a specific imaging scenery of both spatial and spectral features is firstly built. The root-mean-square error of the whole-band reconstructed spectral images under different regularization tuning parameters are calculated so that the relation between data fidelity and the tuning parameter is revealed. The imaging quality is also evaluated by visual observation and comparison on resulting image and spectral curve. © Copyright SPIE. Source


Chen Y.,Soochow University of China | Chen Y.,Key Laboratory of Advanced Optical Manufacturing Technologies of Jiangsu Province | Chen Y.,Key Laboratory of Modern Optical Technologies of Jiangsu Province | Chen Y.,Key Laboratory of Modern Optical Technologies of Education Ministry of China | And 16 more authors.
Guangxue Xuebao/Acta Optica Sinica | Year: 2014

Optical compressive spectral imaging method is a novel spectral imaging technique that draws in the inspiration of compressed sensing, which has the features such as reducing acquisition data amount, realizing snapshot imaging for certain scenery, increasing signal to noise ratio and so on. Considering the influence of the sampling quality on the ultimate imaging quality, matching the sampling interval with the modulation interval in the former reported imaging system, while the depressed sampling rate leads to the loss on the original spectral resolution. To overcome that technical defect, the demand for the matching between sampling interval and modulation interval is disposed and the spectral resolution of the designed experimental device increases more than threefold comparing with that of the previous method. Optimization method is improved and a variation term that represents the spectral-dimension continuousness of the data is added to the regularization function, which enhances the controllability and reliability for the data reconstruction. Result proves that the spectral channel number increases to a great extent effectively, the average spectral resolution reaches 1 nm, and the spectral images and curves are able to perform the spatial and spectral character of the target accurately. Source

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