Journals >Opto-Electronic Engineering
Contents
2013
Volume: 40 Issue 8
17 Article(s)
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Research Article
Novel Hyper-spectral Technology for
Atmospheric Carbon Dioxide Detection
SHI Hailiang, XIONG Wei, LUO Haiyan, LI Zhiwei, and WU Jun
The remote sensing application of Spatial Heterodyne Spectroscopy (SHS) in carbon dioxide detection is introduced. Firstly, important indexes for precision carbon dioxide detection are analyzed, such as spectral bands, resolution and SNR. And then, the spatial heterodyne spectrometer’s components indexes are calculatedThe remote sensing application of Spatial Heterodyne Spectroscopy (SHS) in carbon dioxide detection is introduced. Firstly, important indexes for precision carbon dioxide detection are analyzed, such as spectral bands, resolution and SNR. And then, the spatial heterodyne spectrometer’s components indexes are calculated. Aerial experiments over farmland, industrial area, sand beach, are carried out by Y-12 plane and fine absorption spectrum is obtained after data processing. Finally, primary retrieval result shows that SHS meet the greenhouse gas detection sensitivity such as carbon dioxide..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, -1 (2013)
The Test-analysis of Effectiveness of Modulating Illumination to
Jamming Television-guided
YANG Hua, TAO Hui-feng, WANG Yicheng, and ZHOU Yuanpu
The practicability of modulating the change of grand surface illumination shined by the artificial light to jamming television-guided weapons was analyzed. First, the paper analyzed theoretically the impact on target radiation characteristics of artificial light; Second, the hardware-in-the-loop simulation system to teThe practicability of modulating the change of grand surface illumination shined by the artificial light to jamming television-guided weapons was analyzed. First, the paper analyzed theoretically the impact on target radiation characteristics of artificial light; Second, the hardware-in-the-loop simulation system to test television-guided was built, and the edge evaluation principle and the ratio of related-maximum value evaluation principle for jamming effectiveness were constructed; Last, based on the hardware-in-the-loop simulation system, the test of jamming automatic gain control process and auto focusing process was done and assessed. The experimental results show that different ways of light modulation cause varying degrees of jamming to TV guidance..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 1 (2013)
Research of High Precision and Wireless Angular
Position Tracking Control System
SUN Hong, WU Qianzhong, YIN Penghong, MA Zhijie, JIANG Chenfei, and YAN Jingzhou
In order to make up for low precision of the current position tracking system and inconvenience of the data cable transmission, a kind of high precision and wireless angular position tracking control system is designed. Multirange and higher accuracy L3G4200DH triaxial gyro as angular position sensor is adopted, the daIn order to make up for low precision of the current position tracking system and inconvenience of the data cable transmission, a kind of high precision and wireless angular position tracking control system is designed. Multirange and higher accuracy L3G4200DH triaxial gyro as angular position sensor is adopted, the data transmission by 2.4 G NRF24L01 wireless radio frequency transceiver chip is realized, ARM Cortex -M3 as micro controller is used, and servo motor is controlled by fuzzy PID full closed loop control algorithm. Moreover, add advanced correction and feed-forward links to improve response lag of angle input. Consequently, decrease the error of the system. At the same time, the wireless video module is used to monitor servo motor state in real time. The simulation and experimental results prove that the servo system has been improved greatly in accuracy and real time, and the dynamic following error can be up to 10-3. Furthermore, the system has good following characteristic, meanwhile, wireless data transmission mode will give remote control and special working environment to bring a great convenience..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 7 (2013)
Detection of Moving Object in a Complicated
Background Based on EMDs
XU Peng, LI Dongguang, and JIN Bailiang
How to detect a moving object fast and correctly in a complicated surrounding is one of the most important issues to be solved. Insects could catch a shift in their view field and make an action to prey or flee, which indicates they have peculiar capability to acclimatization. Fly visual system was modeled with an ElemHow to detect a moving object fast and correctly in a complicated surrounding is one of the most important issues to be solved. Insects could catch a shift in their view field and make an action to prey or flee, which indicates they have peculiar capability to acclimatization. Fly visual system was modeled with an Elementary Motion Detector (EMD). We chosen first-order IIR digital filter as the time delay unit and made the Difference of Gaussians method to extract more details and eliminate random noise. We carried out simulation experiment based on software Matlab to detect a moving auto. From the result, this method can detect the moving object without the distraction by complicated environment..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 13 (2013)
A Tracking and Detection Method Based on Online Learning
WANG Bingxue, YONG Yang, and HUANG Zili
A new tracking framework based on online learning was presented to solve the problem of lack of supervision in current tracking method. The proposed technique uses a tracker based on SURF, and a detector based on random forest. During the tracking, the online learning runs simultaneously from positive samples which werA new tracking framework based on online learning was presented to solve the problem of lack of supervision in current tracking method. The proposed technique uses a tracker based on SURF, and a detector based on random forest. During the tracking, the online learning runs simultaneously from positive samples which were selected based on the similarity threshold. This mechanism abstain the decrease of detection precision from learning of negative samples. The detector can find the target and re-initialize the tracker after its failure. Then a strong tracking solution is obtained by the integration of a tracking algorithm, an online learning process and a detection algorithm. Experimental results of different video show that the proposed method can greatly improve the robustness of target tracking method under complex surrounding such as appearance change, partial and full occlusions..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 19 (2013)
Analysis of Relative Pixel Displacement in Overlapping Area of
Mechanical Assembly CCD Focal Planes in Remote Sensing Cameras
HUI Shouwen, and YUAN Guoqin
Influences on relative pixel displacement in overlapping area of mechanical assembly CCD focal planes in remote sensing cameras are studied. Various factors, such as stability of the platform, wavy terrain, distance between two spliced CCDs, are taken into account. The relative pixel displacement of normal photography Influences on relative pixel displacement in overlapping area of mechanical assembly CCD focal planes in remote sensing cameras are studied. Various factors, such as stability of the platform, wavy terrain, distance between two spliced CCDs, are taken into account. The relative pixel displacement of normal photography due to the wavy terrain is studied by using the geometric relationship of central projection. Starting from the collinear equation, the exact mathematical model of the relative pixel displacement is derived by using analytic method. According to the model founded and an example with engineering application, the corresponding stabilized platform is determined, and the numerical results are given. The study has engineering sense and practical value in actual project..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 24 (2013)
Analysis of Technical Characteristics of the Early Warning Detection Unit in the Space Tracking and Surveillance System
XING Hui, LEI Ping, LIU Rong, and KANG Dayong
According to the open literature, the characteristics of optics system about the visual angle, pixel number, spaceresolution and optics plus of the early warning detecting of space tracking and surveillance system are computed conversely. Base on the shortwave infrared radiation characteristics of target and backgroundAccording to the open literature, the characteristics of optics system about the visual angle, pixel number, spaceresolution and optics plus of the early warning detecting of space tracking and surveillance system are computed conversely. Base on the shortwave infrared radiation characteristics of target and background, wave band of the early warning detecting is analyzed, and a new viewpoint that early warning detector don’t work in low atmosphere transmittance of wave band for traditional early warning satellite is proposed. The results show that, under the high noise background, early warning detection unit can obtain the best detecting capability by taking strobe filtering measures to the waveband of high atmospheric transmittance..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 29 (2013)
Modeling Analysis and Verification of SNR for a UV Panoramic Limb Imaging Sensor
ZHANG Jing, WANG Shurong, LI Bo, and HUANG Yu
A panoramic optical annular staring imaging sensor for atmospheric limb detection was presented, which could be used to image the surrounding 360°scene at one time without rotating the optical system and satisfy the application requirement. For the particularity of the wavelength band in Ultraviolet (UV), the signA panoramic optical annular staring imaging sensor for atmospheric limb detection was presented, which could be used to image the surrounding 360°scene at one time without rotating the optical system and satisfy the application requirement. For the particularity of the wavelength band in Ultraviolet (UV), the signals accepted by the instrument are very weak. Signal-to-noise Ratio (SNR) is one of the key parameters to quantitatively evaluate the image quality, so the modeling analysis and measurement of SNR are important for developing UV panoramic limb imaging sensor. First, analyze the SNR model of the panoramic limb imaging sensor. And then deduce the SNR mathematical expressions. Finally, the SNR of the panoramic limb imaging sensor is theoretically evaluated and the coherent experiment is built to prove the result. The experimental results match the theoretical value well, which indicates that SNR modeling analysis method is feasible for UV panoramic limb imaging sensor..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 42 (2013)
Bright Line Removal Algorithm of Star-sky Image in
Astronomic Observation
HAN Yanli, LIU Feng, ZHANG Jian, and XU Jian
The CCD imaging sensor has the inherent characteristics of frame transfer. When bright stars appear in theCCD sensor, a bright line will be produced in its row or column. Smear phenomenon changes the nature of the coverage area of the image, so it must be removed. On the analysis of the mechanism of the Smear, a Smear The CCD imaging sensor has the inherent characteristics of frame transfer. When bright stars appear in theCCD sensor, a bright line will be produced in its row or column. Smear phenomenon changes the nature of the coverage area of the image, so it must be removed. On the analysis of the mechanism of the Smear, a Smear removal algorithm is proposed, which can remove the bright lines and reserve dim targets. According to local histogram Gaussian fitting, the image background parameters are estimated, and the median filter and the multi-threshold are used to reserve the dim targets. In order to improve the visual quality, a sub-sampling method and a 4-neighbour domain filter are proposed. Experiment verifies the effectiveness of the method..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 47 (2013)
Research and Implementation of Matching Technique of Image Based on SIFT Algorithm of Area Blocking
DU Jingyi, HU Yimin, and LIU Yucheng
Since Scale Invariant Feature Transform (SIFT) algorithm is applied in the process of feature matching and problems of wide range of searching, large volumes of data and slowly running occur, a new matching method of SIFT based on overlapping area is proposed. Firstly, the method splits the matching image into two areaSince Scale Invariant Feature Transform (SIFT) algorithm is applied in the process of feature matching and problems of wide range of searching, large volumes of data and slowly running occur, a new matching method of SIFT based on overlapping area is proposed. Firstly, the method splits the matching image into two areas of bilateral. Secondly, credible matching block is selected by the voting mechanism, which reduces the original matching area. Then, SIFT is used to extract feature points of credible matching block and match elementarily. Finally, false matching pairs are removed to improve matching accuracy by Bidirectional Random Sample Consensus (BRANSAC). The experimental results show that improved SIFT algorithm of area blocking has more real-time and robustness than standard SIFT algorithm, and it has a certain value in the actual image matching..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 52 (2013)
Fast Scattered Point Cloud Data Reduction Algorithm
Based on Minimum Curvature Distance
XU Yajun, and WEI Yongchao
To simplify the point cloud data while preserving features, a novel algorithm based on the curvature distance isput forward. The whole point cloud is divided into a series of initial sub-clusters with the 3D grid subdivision method, and then k neighborhood is constructed from the partition results. All the points in k To simplify the point cloud data while preserving features, a novel algorithm based on the curvature distance isput forward. The whole point cloud is divided into a series of initial sub-clusters with the 3D grid subdivision method, and then k neighborhood is constructed from the partition results. All the points in k neighborhood are approximated by quadratic parametric surface based on scattered point cloud parameterization. The curvatures of fitting surface are further calculated. The judgment of requiring reduction is decided by the novel minimal surface distance of curvature features. Some typical cases with various surface features, such as surf, stone, pottery figurine and tooth, are chosen to verify the new method. The results indicate that the new algorithm is of significance in theory and practice for reduction of point cloud, and enables to reduce data directly and efficiently while maintaining the geometry of the original model. The reliability and accuracy of the algorithm are also proved by experiment..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 59 (2013)
High-speed X-ray Linear Array Detector Noise Analysis and Filtering Method
RONG Feng, MIAO Changyun, and XU Wei
The noise of the high-speed X-ray line array detector was analyzed. The detector noise was divided into three types, the background noise, random noise and isolated noise. By experiment, the noise change with the detector scanning speed increase was studied, and the impact of noise on the detection result of the detectThe noise of the high-speed X-ray line array detector was analyzed. The detector noise was divided into three types, the background noise, random noise and isolated noise. By experiment, the noise change with the detector scanning speed increase was studied, and the impact of noise on the detection result of the detector was analyzed. A filtering method for high-speed X-ray line array detector was proposed. Difference method filters out the background noise and Kalman filter filters out random noise. According to the noise characteristics, the improved median filter filters out noise isolation. Experimental results show that the method not only can effectively filter out all kinds of noise of the detector, but also keep the details of the detector detects image..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 64 (2013)
Error Analysis of Image Acquisition Flux-cored Online Detector Medicine Based on Area Array CCD
HENG Peiyin, ZHANG Chunyuan, JIA Yannan, and DONG Wei
A set of online drug type based on array CCD detector is designed. On this basis, the basic principle of medicine online detection system is introduced. In this paper, from the three aspects: perspective error, light error, the positioning error, the cause of the error in the image acquisition process is found through A set of online drug type based on array CCD detector is designed. On this basis, the basic principle of medicine online detection system is introduced. In this paper, from the three aspects: perspective error, light error, the positioning error, the cause of the error in the image acquisition process is found through theoretical analysis and experimental research. And then, the corresponding solutions are proposed, thus the measurement precision of on-line detecting instrument is greatly improved..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 73 (2013)
The Bias Classification of Magnetic Tile Surface
Defect Based on the LSSVM
ZHANG Zhenyao, LI Xin, and BAI Ruilin
As the classification of magnetic tile surface defect has a low efficiency, a bias classification of magnetic tile surface defect based on the Least Squares Support Vector Machine (LSSVM) is proposed. A Gabor filter group is constructed, which has 5 scales and 8 directions, and extracts the mean and variance of the 40 As the classification of magnetic tile surface defect has a low efficiency, a bias classification of magnetic tile surface defect based on the Least Squares Support Vector Machine (LSSVM) is proposed. A Gabor filter group is constructed, which has 5 scales and 8 directions, and extracts the mean and variance of the 40 pictures which are generated from the transformation by Gabor filters as the features of the magnet. CSA is used for the initial optimization, and produces the initial parameters. Then the meticulous search using grid algorithm is done for the neighborhood of the initial parameters. In order to realize classification flipped to defect magnet, the SMOTE algorithms are improved. After the noise samples in original samples are removed, over-sampling between the accepted samples and boundary samples of defect magnet is done. It is proved that the time to research parameters during training the LSSVM model is significantly reduced. The proposed method can achieve accuracy rate of defect magnet of about 99.09%. At the same time, the overall accuracy rate is about 95.56%. The aim of classification flipped for defect magnet has been realized..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 78 (2013)
Applied Research of Image Rotator Scan in Infrared Optical System
ZHAO Yan, LI Ruigang, DENG Xianchi, and DENG Jian
Based on the principle of optical offsetting image rotator, image rotator scan is studied to expand the optical system Field of View (FOV). An optical design model is introduced, which is a triple imaging zoom structure, and Pechan prism is used as a one-dimension scan component. Moreover, the active athermalization teBased on the principle of optical offsetting image rotator, image rotator scan is studied to expand the optical system Field of View (FOV). An optical design model is introduced, which is a triple imaging zoom structure, and Pechan prism is used as a one-dimension scan component. Moreover, the active athermalization technology is used to satisfy the imaging quality in different temperature. The optical design result is given. The system uses a 480ˉ6 linear array detector of long wavelength infrared (7.7 ~10.3 μm), the detector length is 12.29 mm, and the F# is 2.6. The detector is tilted and decentered to match the cold stop, and the image rotator scan makes the model have a circular FOV whose radius is the detector length and the system FOV is 4.4o/17.6o with 320/80 mm focal length. The system has 9 lenses with 3 aspheric surfaces, and has near diffraction limited imaging quality in whole FOV..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 84 (2013)
Analysis and Correction of Visible Near Infrared Optical Lens Eccentric
JIANG Shi-lei, LIU Hao, SUN Guo-bin, LIU Bao-li, and YANG Guo-feng
Due to the visible nearly infrared optical lens used in wide band (0.4 ~ 1.1 u m), the lens processing, assembly and correction is more difficult than other suitable for narrow band of the lens. In order to guarantee the machine imaging quality, the accuracy of the system’s processing and assembling must be improved. ADue to the visible nearly infrared optical lens used in wide band (0.4 ~ 1.1 u m), the lens processing, assembly and correction is more difficult than other suitable for narrow band of the lens. In order to guarantee the machine imaging quality, the accuracy of the system’s processing and assembling must be improved. According to a lens’ aberration weight, lens processing accuracy should use the eccentricity of each lens to influence the change of system Modulation Transfer Function (MTF). According to the analysis and correction of each lens, the mix and min of the influence are obtained, and centering correction for each lens is processed..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 40, Issue 8, 89 (2013)
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