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Development of projection-type optical scheme for computer-generated Fourier hologram recorder
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作者 E.Yu.Zlokazov S.B.Odinokov +1 位作者 N.M.Verenikina S.S.Donchenko 《Chinese Optics Letters》 SCIE EI CAS CSCD 2017年第4期27-29,共3页
Projection-type recorders of computer-generated Fourier holograms have potential due to the decreased precision requirements of the optical scheme compared to most known holographic data recorders based on two-beam sc... Projection-type recorders of computer-generated Fourier holograms have potential due to the decreased precision requirements of the optical scheme compared to most known holographic data recorders based on two-beam schemes.In the case of optical memory system development,the reduction factor of the projection scheme requires the application of properly developed optical components.The present report is dedicated to the development of special objectives for the projection scheme of computer-generated Fourier holograms. 展开更多
关键词 projection holographic recording properly objectives simplicity match illumination dedicated reconstructed
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An area-based position and attitude estimation for unmanned aerial vehicle navigation 被引量:8
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作者 LIU XiaoChun WANG Hou +4 位作者 FU Dan YU QiFeng GUO PengYu LEI ZhiHui SHANG Yang 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2015年第5期916-926,共11页
The paper aims to challenge non-GPS navigation problems by using visual sensors and geo-referenced images. An area-based method is proposed to estimate full navigation parameters(FNPs), including attitude, altitude an... The paper aims to challenge non-GPS navigation problems by using visual sensors and geo-referenced images. An area-based method is proposed to estimate full navigation parameters(FNPs), including attitude, altitude and horizontal position, for unmanned aerial vehicle(UAV) navigation. Our method is composed of three main modules: geometric transfer function, local normalized sobel energy image(LNSEI) based objective function and simplex-simulated annealing(SSA) based optimization algorithm. The adoption of relatively rich scene information and LNSEI, makes it possible to yield a solution robustly even in the presence of very noisy cases, such as multi-modal and/or multi-temporal images that differ in the type of visual sensor, season, illumination, weather, and so on, and also to handle the sparsely textured regions where features are barely detected or matched. Simulation experiments using many synthetic images clearly support noise resistance and estimation accuracy, and experimental results using 2367 real images show the maximum estimation error of 5.16(meter) for horizontal position, 9.72(meter) for altitude and 0.82(degree) for attitude. 展开更多
关键词 navigation illumination attitude normalized matching scene handle noisy aerial unmanned
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