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【期刊论文】MULTICHANNEL FOURIER TRANSFORM OPTICAL FEEDBACK IMAGE PROCESSING
刘智深, LIU ZHISHEN AND HE MINGXIA
KEXUE TONGBAO 1984 Vol. 29 No.8 1013~1016,-0001,():
-1年11月30日
A multichannel optical Fourier transform has been proved to be a useful method for encoding spatial-frequency or density pseudoeolor[1]. The method of image-processing is accomplished by spatial-filtering the various time frequency channels. Compared with the Ronehi grating methods[2], this method has the advantages of high utilization ratio of light source, has no image resolution loss caused by grating sampling and does not require Fourier transforming lenses of large relative aperture.
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刘智深, LIU Zhishen, WU Dong, ZHANG Kailin, LIU Jintao, Johnathan W. Hair & Chiao-Yao She
SCIENCE IN CHINA (Series E) 2003, Vol. 46 No.3 309~317,-0001,():
-1年11月30日
A mobile incoherent Doppler lidar system has been experimentally demonstrated to be able to transmit reliable single frequency operation laser pulse, even after truck transit and in very high vibration environments. The linewidth of the injection-seeded pulse Nd:YAG laser can be measured by means of an 12 molecular filter. And, lidar validation experiments demonstrated the feasibility and capability of measuring wind field by the Mie-Rayleigh Doppler wind lidar. The uncertainty of measured wind speed is 0.985m/s in the altitude range from 2 to 4km.
mobile Doppler wind lidar,, iodine-vapor discriminator.,
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【期刊论文】Multichannel frequency-domain image processor
刘智深, Zhi-Shen Liu and Ming-Xia He
June 1982/Vol. 7, No.6/OPTICS LETTERS 245~247,-0001,():
-1年11月30日
The theory and experiments for a multichannel optical system for pseudocolor encoding of images are presented. Spatial-frequency pseudocolor encoding is accomplished by spatial filtering different-colored spectra in different channels. Density pseudocolor encoding is accomplished by the incoherent addition of three primary color images: a contrast-reversal image in one color, a positive image in the second color, and a contrast half-reversal image in the third color. This is a simple, real-rime'technique. It has no resolution loss that is due to the use of gratings or halftone screens, and the optical system does not require Fourier-transform lenses with large relative apertures.
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【期刊论文】Underwater image transmission and blurred image restoration
刘智深, Zhishen Liu, Yifan Yu, Kailin Zhang, Hailong Huang
Opt. Eng. 40 (6) 1125-1131 (June 2001),-0001,():
-1年11月30日
Because light is scattered and absorbed by seawater, the images obtained underwater are always blurry after transmitted through a certain distance. The point spread function (PSF) and modulation transfer function (MTF) are important properties of seawater to predict underwater light propagation and underwater image quality. We describe the laboratory facilities to measure the PSF and MTF of water body by the image transmission method and the restoration methods of underwater blurred images. The measured results are given and compared with the theories. The blurred images of a bar target transmitted through different water paths are restored with the measured MTF using a Wiener filter.
point spread function (, PSF), , modulation transfer function (, MTF), , underwater image restoration, Wiener filter.,
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【期刊论文】Retrieval of chlorophyll from remote-sensing reflectance in the China seas
刘智深, Ming-Xia He, Zhi-Shen Liu, Ke-Ping Du, Li-Ping Li, Rui Chen, Kendall L. Carder, and Zhong-Ping Lee
20 May 2000/Vol. 39, No.15/APPLIED OPTICS 2467~2474,-0001,():
-1年11月30日
The East China Sea is a typical case 2 water environment, where concentrations of phytoplankton pigments, suspended matter, and chromophoric dissolved organic matter (CDOM) are all higher than those in the open oceans, because of the discharge from the Yangtze River and the Yellow River. By using a hyperspectral semianalytical model, we simulated a set of remote-sensing reflectance tbr a variety of chlorophyll, suspended matter, and CDOM concentrations. From this simulated data set, a new algorithm for the retrieval of chlorophyll concentration from remote-sensing reflectance is proposed. For this method, we took into account the 682-nm spectral channel in addition to the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) channels. When this algorithm was applied to a field data set, the chlorophyll concentrations retrieved through the new algorithm were consistent with field measurements to within a small error of 18%, in contrast with that of 147% between the SeaWiFS ocean chlorophyll 2 algorithm and the in situ observation.
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