Liquid-core cylindrical lens (LCL) is glued together by two cylindrical lenses, translucent liquid with refractive index n is injected into the liquid core, based on focal plane imaging method, the refractive index n has a one-to-one dependence on the focal length f of the LCL, n= f(n). Two kind of LCL, symmetrical liquid-core cylindrical lens (SLCL) and asymmetrical liquid-core cylindrical lens (ALCL) had been designed and fabricated, the refractive index measurement accuracy is superior to 0.0002 RIU. Based on the refractive index spatial measurement capability of ALCL, the equivalent refractive index thin layer movement method for rapidly and accurately measuring the diffusion coefficient D under the infinite dilution condition was applied to measure an aqueous CaCl2 solution at temperature of 303 K, and the result D were simulated and verified by ray tracing method. Comparing with the traditional method, this method has the advantages of visualization of diffusion process, strong anti-interference capability, rapid measurement, which can be widely used in medical, chemical, biological, environmental protection or other fields.
An improved Dark Object Subtraction (DOS) method was introduced for Landsat 8 multispectral satellite image in this paper. The main factors including Rayleigh scattering, Mie scattering in path radiance, as well as the other satellite image parameters (such as height modification, slope distance and azimuth), ware considered in the algorithm. The algorithm consists of three steps. First, starting band haze values are selected using histogram of a single image. Then predicted haze values were calculated using a known scattering model and the multispectral normalized gains and offset values. Finally, final predicted haze values are obtained by the predicted haze values and haze values. Compared with other improved Dark Object Subtraction methods, the result of this algorithm is more realistic on geographical object recognition on NDVI (Normalized Difference Vegetation Index) and NDWI (Normalized Difference Water Index) data.
In order to solve the problems that image’s entropy of information decline obviously and boundary line phenomenon appear obviously in the processing of aerial remote sensing image’s mosaic, an image mosaic approach is presented in this paper, which uses wavelet image fusion based on structure similarity and is capable of creating seamless mosaics in real-time. The approach consists of three steps. First, the overlapping area of two aerial images is extracted. Then, the two overlapping area images are fused adaptively by the method of multi-layer wavelet decomposition based on the structure similarity and appointed regulation. Finally, weighted average fusion is used again to avoid the visible boundary line for the both sides of the boundary of the above fusion image. Experimental results show the entropy of information, sharpness and standard deviation have been improved significantly, and the boundary line has been eliminated observably.
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