There is a saying that “The teacher, proselytizes instructs dispels doubt.” Traditional teaching methods, constantly let the students learn the knowledge in order to pursue the knowledge of a solid grasp, then assess the teaching result by evaluating of the degree of knowledge and memory. This approach cannot mobilize the enthusiasm of students to learn, and hinders the development of innovative thinking of students. And this assessment results have no practical significance, decoupling from practical application. As we all know, the course of Applied Optics is based on abstract theory. If the same teaching methods using for this course by such a "duck", it is unable to mobilize students' learning initiative, and then students’ study results will be affected by passive acceptance of knowledge. How to take the initiative to acquire knowledge in the class to the students, and fully mobilize the initiative of students and to explore the potential of students, finally evaluation contents more research on the practical significance? Scholars continue to innovate teaching methods, as well as teaching evaluation indicators, the best teaching effect to promote the development of students. Therefore, this paper puts forward a set of teaching evaluation model of teaching autonomy.
This so-called "autonomous teaching" is that teachers put forward the request or arrange the task and students complete the learning content in the form of a group to discuss learning before the lesson, and to complete the task of the layout, then teachers accept of students' learning achievements and answer questions. Every task is designed to evaluate the effectiveness of teaching. Every lesson should be combined with the progress of science and technology frontier of Applied Optics, let students understand the relationship between research and application in the future, mobilize the students interest in learning, training ability, learn to take the initiative to explore, team cooperation ability. As well, it has practical significance to every evaluation, making the teaching to active learning in teaching, cultivating students' creative potential, deep, solid foundation for the day after learning work.
KEYWORDS: Solar concentrators, Nonimaging optics, Photovoltaics, Optical systems, Solar cells, Solar energy, Receivers, Geometrical optics, Ray tracing, Sun
The cost of photovoltaic power generation can be saved and efficiency will be improved by the concentration optics system. However, the non-uniformity of illumination distribution on the photovoltaic cells of the current Fresnel concentrators will reduce the photoelectric conversion efficiency and decrease the service life of the cell even damage the cell. This paper presents the design and simulation a novel nonimaging Fresnel concentrator, then comparatively analyses the performances of the conventional Fresnel concentrator. The novel nonimaging Fresnel concentrator has been design according to the diffused focal points method to improve optical efficiency and illumination uniformity. The novel Fresnel concentrator achieves high concentration efficiency 82.20%, and high uniformity 89.23% in the scope ±4mm of the concentration spot which can improve photoelectric conversion efficiency of photovoltaic cells and prevent the photovoltaic cells from being damaged.
Solar-blind region of UV wave waveband, which is from 240nm to 280nm, is absorbed by atmosphere seriously.
This feature can ensure solar-blind ultraviolet(UV) optical system is not affected by natural and artificial light sources. In
this paper, an optical system based in the solar-blind spectrum region is designed to realize UV missile warning.
System structure is simplified and image quality is improved by using aspheric surfaces and binary optical elements.
In order to increase the detection range, the field of view is increased to 50°. The focal length of system is 30mm and UV
CCD PIXIS 2048BUV is selected as the detector with effective imaging area 27.6mm×27.6mm and pixel size
13.5μm×13.5μm. From the diagram of diffraction encircled energy, more than 85% of the light energy for each field of
view is received within a pixel size. The spot diagram for each field of view is smaller than a single pixel size. The image
quality of the system has characteristics of high energy concentration and uniform illumination on image plane. This
system is suitable for both military and civil applications.
Based on the requirements of corona detection on searching targets with large field of view and detecting objects
with small field of view, a refractive zoom optical system using mechanical compensation technology, which operates at
0.24μm~0.28μm wavelength ,is designed with aspherical surfaces. S8844-0909 ultraviolet CCD is selected as a sensor
with pixel size 24μm×24μm. The zooming region is 35mm~70mm with F number of 3.5 and the corresponding field of
view of 7°~14°.The zoom lens consists of seven lenses with two aspherical surfaces, so it has the advantages of
compact size and simple structure. The results show that in full zooming range, the MTF values over all fields of view
are above 0.8 at cut-off frequency 21lp/mm. The distortion is less than 5%.The zoom lens system has good image
quality and stable image plane, which meets the overall design requirements of the optical system.
Keywords: Corona detection, Zoom lens, Aspheric surface
Solar-blind region of Ultraviolet (UV) spectrum has very important application in military field. The spectrum range is from 240nm to 280nm, which can be applied to detect the tail flame from approaching missile. A solar-blind UV optical system is designed to detect the UV radiation, which is an energy system. iKon-L 936 from ANDOR company is selected as the UV detector, which has pixel size 13.5μm x 13.5 μm and active image area 27.6mm x 27.6 mm. CaF2 and F_silica are the chosen materials. The original structure is composed of 6 elements. To reduce the system structure and improve image quality, two aspheric surfaces and one diffractive optical element are adopted in this paper. After optimization and normalization, the designed system is composed of five elements with the maximum spot size 11.988μ m, which is less than the pixel size of the selected CCD detector. Application of aspheric surface and diffractive optical element makes each FOV have similar spot size, which shows the system almost meets the requirements of isoplanatic condition. If the focal length can be decreased, the FOV of the system can be enlarged further.
Hybrid photoelectric joint transform correlator can realize automatic real-time recognition with high precision through the combination of optical devices and electronic devices. When recognizing targets with low contrast using photoelectric joint transform correlator, because of the difference of attitude, brightness and grayscale between target and template, only four to five frames of dynamic targets can be recognized without any processing. CCD camera is used to capture the dynamic target images and the capturing speed of CCD is 25 frames per second. Automatic threshold has many advantages like fast processing speed, effectively shielding noise interference, enhancing diffraction energy of useful information and better reserving outline of target and template, so this method plays a very important role in target recognition with optical correlation method. However, the automatic obtained threshold by program can not achieve the best recognition results for dynamic targets. The reason is that outline information is broken to some extent. Optimal threshold is obtained by manual intervention in most cases. Aiming at the characteristics of dynamic targets, the processing program of improved automatic threshold is finished by multiplying OTSU threshold of target and template by scale coefficient of the processed image, and combining with mathematical morphology. The optimal threshold can be achieved automatically by improved automatic threshold processing for dynamic low contrast target images. The recognition rate of dynamic targets is improved through decreased background noise effect and increased correlation information. A series of dynamic tank images with the speed about 70 km/h are adapted as target images. The 1st frame of this series of tanks can correlate only with the 3rd frame without any processing. Through OTSU threshold, the 80th frame can be recognized. By automatic threshold processing of the joint images, this number can be increased to 89 frames. Experimental results show that the improved automatic threshold processing has special application value for the recognition of dynamic target with low contrast.
Joint transform correlator (JTC) can make targets recognized and located accurately, but the bottleneck technique of
JTC is how to recognize spatial distorted targets in cluttered scene. This has restricted the development of the pattern
recognition with JTC to a great extent. In order to solve the problem, improved maximum average correlation height
(MACH) filter algorithm is presented in this paper. The MACH algorithm has powerful capability of recognition for
spatial distorted targets (rotation and scale changed etc.). The controlling parameters of the synthesized filter are
optimized in this paper, which makes the filter have higher distortion tolerance and can suppress cluttered noise
effectively. When improved MACH filter algorithm in frequency domain is projected to space domain, the MACH
reference template image can be obtained which includes various forms of distorted target image. Based on amounts of
computer simulation and optical experiments, MACH reference template is proved to have the capability of sharpening
the correlation peaks and expanding recognizing scope for distorted targets in cluttered scene. MATLAB software is
applied to produce MACH reference image for the detected target images and conduct simulation experiments for its
powerful calculation capability of matrix. In order to prove the feasibility of MACH reference in JTC and determine the
recognition scope, experiments for an aircraft target in the sky are carried out. After the original image is processed by
edge extraction, a MACH filter reference template is obtained in space domain from improved MACH filter in frequency
domain. From simulation experiments, the improved MACH filter is proved to have the feasibility of sharpening
correlation peaks for distorted targets. Optical experiments are given to verify the effectiveness further. The experiments
show the angular distortion tolerance can reach up to ±15 degrees and scale distortion tolerance can reach up to ±23%.
Within this scope, the spatial distorted aircraft can be recognized effectively. The actual effect of the improved MACH
filter algorithm has been confirmed very well.
Ultraviolet (UV) radiation of 200nm-300nm waveband from the sun is absorbed by atmosphere, which is often
referred to the solar-blind region of the solar spectrum. Solar-blind characteristics of this waveband have important
application value in forest-fire prevention, UV security communication, UV corona detection and other aspects. Especially
in military fields such as missile warning, the application of solar-blind waveband has developed very rapidly, which is
receiving more and more attention recently. In this paper, ZEMAX software is used to design an optical system of
solar-blind UV target receiver with waveband 240nm-280nm, with which UV target signal can be detected. The optional
materials are very few for UV optical systems to choose from, in which only CaF2 and JGS1 are commonly used.
Various aberrations are not easy to be corrected. So it is very difficult to design a good UV system. Besides, doublet or
triplet cannot be used in UV optical system considering possible cracking for different thermal expansion coefficients of
different materials. So the doublet in initial structure is separated for this reason. During the optimization process, an
aspheric surface is used to correct the aberrations. But this surface is removed before the design is finished to save
production cost and enhance the precision of fabrication and test, which still keeps the image quality meeting the usage
requirements. What we care for is the converging condition for different field of view from the far object on image plane.
So this is an energy system. Spot diagram is taken as the evaluation criterion of image quality. The system is composed
of 6 lenses with field of view (FOV) 31 degrees. In the final design results, the root mean square (RMS) radius for
marginal FOV is less than 6.3 microns, while the value is only 4 microns for zero FOV. Point Spread Function and
diffraction encircled energy diagram within the maximum FOV confirms the good performance of system further.
Ultraviolet (UV) radiation of 200nm-300nm waveband from the sun is absorbed by atmosphere, which is often
referred to the solar-blind region of the solar spectrum. Solar-blind characteristics of this waveband have important
application value, especially in military fields. The application of solar-blind waveband has developed very
rapidly, which is receiving more and more attention. Sometimes, to test the performance of a UV optical system, a
standard solar-blind UV target simulator is needed as the UV light source. In this paper, an optical system of a solar-blind
UV target simulator is designed with waveband 240nm-280nm. To simulate a far UV target, the focal length of this UV
optical system needs to be long. Besides, different field of view (FOV) of the system should meet aplanatic condition.
The optional materials are very few for UV optical systems, in which only CaF2 and JGS1 are commonly used. Various
aberrations are difficult to be corrected. To save production cost and enhance the precision of fabrication and test,
aspheric surfaces and binary elements are not adopted in the system. Moreover, doublet or triplet cannot be used in UV
optical system considering possible cracking for different thermal expansion coefficients of different materials. After
optimization, the system is composed of 4 lenses with focal length 500mm. MTF curves of different FOV coincide
together. The maximum RMS radius of the optimized system has almost the same size as Airy disk, which proves the
good image quality after system optimization. The aplanatic condition is met very well in this system. In the spot
diagram, root mean square (RMS) radius changes from 3 microns to 3.6 microns, which has similar size with Airy disk
and meets aplanatic condition very well. This optical system of solar-blind UV target simulator also has relatively loose
tolerance data, which can prove the system is designed in an optimal state.
Joint transform correlator (JTC) is quite useful for pattern recognition in many fields, which can realize automatic
real-time recognition of target in cluttered background with high precision. For military application, JTC can also be
applied for thermo target recognition especially at night. To make JTC recognize thermo targets, an infrared telephoto
lens is designed in this paper. Long focal length and short tube length are required for this usage. So the structure of a
positive lens group and a negative lens group are adopted. Besides, the effective focal length and relative aperture should
be large enough to ensure the distant targets can be detected with adequate illumination. In this paper, the working
waveband of adopted infrared CCD detector is 8-12μm. According to Nyquist law, the characteristic frequency of the
system is 14lp/mm.
The optional materials are very few for infrared optical systems, in which only several kinds of materials such as
Germanium, ZnSe, ZnS are commonly used. Various aberrations are not easy to be corrected. So it is very difficult to
design a good infrared optical system. Besides, doublet or triplet should be avoided to be used in infrared optical system
considering possible cracking for different thermal expansion coefficients of different infrared materials. The original
configuration is composed of three lenses. After optimization, the image quality can get limit diffraction. The root mean
square (RMS) radii of three fields are 6.754μm, 7.301μm and 12.158μm respectively. They are all less than the Airy spot
diameter 48.8μm. Wavefront aberration at 0.707 field of view (FOV) is only 0.1wavelength. After adjusting the radius to
surface templates, setting tolerances and giving element drawings, this system has been fabricated successfully. Optical
experimental results of infrared target recognition using JTC are given in this paper. The correlation peaks can be
detected and located easily, which confirms the good image quality of the designed infrared telephoto lens.
Ultraviolet (UV) spectrum of 200nm-300nm from the sun is absorbed by the ozone layer around the earth, which forms the solar-blind spectral region near the ground. Within this spectral region, UV signal interference will be very small. By the characteristics of solar-blind spectral region, it can be used in the fields such as prevention of forest fires, missile approach warning etc. An optical system with FOV 46° is designed for missile approach warning in this paper. To enhance the FOV enlarge the aperture and improve the image quality, two aspheric surfaces and one binary element are adopted in the optical system. PIXIS2048BUV-type camera is selected as the detector of the system, which has pixel size 13.5μm x 13.5μm and imaging area 27.6mm x 27.6mm. After optimization, the RMS radius for maximum FOV is 18μm, which is slightly larger than one pixel size. For other FOV, the RMS radius are all much less than the pixel size. From the encircled energy curve, over 80% of the energy from the object is converged within the circle of radius 6.5μm. Point spread function of each FOV is high enough, which shows the designed optical system has good convergent degree of energy as an energy system.
Recognition of low-light level target is attracting more and more concern in modern military areas. However, for the
reason of low contrast, low signal-to-noise ratio and inadequacy information of low-light level target etc, the goal to
detect and recognize the target would not be realized by using photoelectric joint transform correlator. By median
filtering and edge detection with lifting wavelet transform for low-light level target in this paper, the interference of
background noise is reduced and useful information of target and template is enhanced at the same time. Experimental
results show that the brightness and contrast of correlation peaks are both improved obviously after processing the joint
image, which proves the method is very effective in target recognition field by using photoelectric hybrid joint transform
correlator.
Traditional matched filter-based correlator needs to make matched filter in advance, which has many disadvantages, such
as large calculation and slow speed. The more important thing is that it is not suitable for real-time processing and
recognition precision is also very low. In this paper, the method of optical joint transform correlation (JTC) is presented,
which can recognize targets in real time with higher precision.
In JTC, Electricity Addressed Liquid Crystal Display (EALCD) is adopted as spatial light modulator, which has the
feature of high resolution. It can record not only objects and images of optical system, but also joint image of target and
template stored in computer beforehand. In the experimental system, EALCD is the key device to realize optical
correlation. Two area array CCD are used to record the joint transform spectrum (JTS) and correlation peaks image
respectively. By the coordinate of correlation peaks, the position of the target can be determined.
Comparatively, stationary targets can be detected and recognized easily by JTC. When targets get moving, the intensity
of the correlation peaks of joint image turns weak. Sometimes we even can't get them. Thus, an effective method is
needed to solve the problem. In this paper, dynamic templates are applied to realize tracking the targets. Temporal state
of targets will be used as new templates. According to the experiments, good tracking results are achieved.
Hybrid optoelectronic joint transform correlator (HOJTC), exploiting the Fourier transform property of a lens, implements target detection in real time. Adaptive nonlinear digital filtering in the joint transform power spectrum (JTPS) plane improves the immunity against the noise and clutter. In this paper, electrically addressed liquid crystal devices (EALCD) are used as the space light modulators (SLM), Charge Coupled Device (CCD) matrix camera as the square law detector and Ar+ laser as the light source. We develop the hybrid optoelectronic joint transform correlator controlled by computers, which can successfully detect and recognize the target in cluttered scenes in real time. The speed rate of the recognition is 25 frames per second. As the experiment examples, the target recognition of a tank and a car in cluttered scenes is presented. The experiments show that the intensity of cross-correlation peaks after adaptive nonlinear digital filtering is increased greatly, the performance of the joint transform correlator is improved, and it can detect the distorted and noisy targets in cluttered scenes in real time. It was found that using wavelet filter in frequency domain is a very effective way to suppress clutter noise while maintaining high tolerance for distortion.
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