The high spectral resolution lidar (HSRL) technique employs a narrow spectral filter to separate the aerosol and molecular scattering components from the echo signals and therefore can retrieve the aerosol optical properties and lidar ratio (i.e., the extinction-to-backscatter ratio) profiles directly, which is different from the traditional Mie lidar with assumed lidar ratio. Accurate aerosol profiles measurement are useful for air quality monitoring. In this paper, a spaceborne HSRL lidar system simulation model based iodine vapor cell filter was presented. According to three different atmosphere aerosol distribution models and the uncertainties of atmosphere temperature and pressure, the signal to noise ratio (SNR) and the relative errors profiles of the backscattering coefficients of this lidar was simulated theoretically in daytime and nighttime. The result shows that the errors of aerosol backscattering coefficients are smaller in the aerosols dense area than in the sparse area. As altitude increases, the relative error of backscattering coefficient is increased. The relative backscattering coefficient error is within 16.5% below 5 km with 30 m range resolution and 10 km horizontal resolution.
{"title":"Error analysis of spaceborne high spectral resolution lidar","authors":"Junfa Dong, Jiqiao Liu, Xiaolei Zhu, D. Bi, Weibiao Chen, Xiaopeng Zhu","doi":"10.1117/12.2505030","DOIUrl":"https://doi.org/10.1117/12.2505030","url":null,"abstract":"The high spectral resolution lidar (HSRL) technique employs a narrow spectral filter to separate the aerosol and molecular scattering components from the echo signals and therefore can retrieve the aerosol optical properties and lidar ratio (i.e., the extinction-to-backscatter ratio) profiles directly, which is different from the traditional Mie lidar with assumed lidar ratio. Accurate aerosol profiles measurement are useful for air quality monitoring. In this paper, a spaceborne HSRL lidar system simulation model based iodine vapor cell filter was presented. According to three different atmosphere aerosol distribution models and the uncertainties of atmosphere temperature and pressure, the signal to noise ratio (SNR) and the relative errors profiles of the backscattering coefficients of this lidar was simulated theoretically in daytime and nighttime. The result shows that the errors of aerosol backscattering coefficients are smaller in the aerosols dense area than in the sparse area. As altitude increases, the relative error of backscattering coefficient is increased. The relative backscattering coefficient error is within 16.5% below 5 km with 30 m range resolution and 10 km horizontal resolution.","PeriodicalId":334634,"journal":{"name":"Optical Sensing and Imaging Technologies and Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116928041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study of underwater in-situ detection is an important research trend in underwater detection. In view of the design requirements of the spectral data acquisition system for underwater in-situ detection, this paper used the software and hardware co-design method, from two aspects of software and hardware. A prototype system of spectral data acquisition system based on Xilinx Zynq chip and linear array CCD detector was designed and implemented. Through theoretical analyzing, experimental debugging and verification analyzing, the results shown that the system could collect and store the spectral data in real time. It also had the characteristics of low noise and had a small electronic structure, which laid a foundation for the spectral data acquisition of underwater in-situ detection.
{"title":"Design and research of a spectral data acquisition system for underwater in-situ detection","authors":"L. Hong, Yu Tao, Hu Liang, Li Bo, Zhang Feng","doi":"10.1117/12.2505192","DOIUrl":"https://doi.org/10.1117/12.2505192","url":null,"abstract":"The study of underwater in-situ detection is an important research trend in underwater detection. In view of the design requirements of the spectral data acquisition system for underwater in-situ detection, this paper used the software and hardware co-design method, from two aspects of software and hardware. A prototype system of spectral data acquisition system based on Xilinx Zynq chip and linear array CCD detector was designed and implemented. Through theoretical analyzing, experimental debugging and verification analyzing, the results shown that the system could collect and store the spectral data in real time. It also had the characteristics of low noise and had a small electronic structure, which laid a foundation for the spectral data acquisition of underwater in-situ detection.","PeriodicalId":334634,"journal":{"name":"Optical Sensing and Imaging Technologies and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Kui, Zhang Guangdong, Zhang Wei, Peng Jianwei, Gao Bo
To a high resolution digital camera which works in visible light and is on the space-based platform flying in 500 km orbit, analyzed the principle of image acquisition, established the collinear equation and target location model from the system measured the pose of camera and single image without control points, and researched the method to calculate the geographic coordinate of target point. Analyzed the consisted factors of target location accuracy, and generated the formula for calculating target location accuracy based on the accuracy theory. For the cameras working in this mode, gave the elements of orientation and the parameters of camera, then obtained the target location accuracy is 16.1 meter through the simulation analysis to the model. The analysis to the target location accuracy provides a theoretical base for the practical use of the space camera. Analyzed the impact of the camera parameters and operation mode on the location accuracy, and put forward some measures to improve the target location accuracy.
{"title":"Accuracy analysis for target location with no control point for the camera loaded on space-based platform","authors":"S. Kui, Zhang Guangdong, Zhang Wei, Peng Jianwei, Gao Bo","doi":"10.1117/12.2502100","DOIUrl":"https://doi.org/10.1117/12.2502100","url":null,"abstract":"To a high resolution digital camera which works in visible light and is on the space-based platform flying in 500 km orbit, analyzed the principle of image acquisition, established the collinear equation and target location model from the system measured the pose of camera and single image without control points, and researched the method to calculate the geographic coordinate of target point. Analyzed the consisted factors of target location accuracy, and generated the formula for calculating target location accuracy based on the accuracy theory. For the cameras working in this mode, gave the elements of orientation and the parameters of camera, then obtained the target location accuracy is 16.1 meter through the simulation analysis to the model. The analysis to the target location accuracy provides a theoretical base for the practical use of the space camera. Analyzed the impact of the camera parameters and operation mode on the location accuracy, and put forward some measures to improve the target location accuracy.","PeriodicalId":334634,"journal":{"name":"Optical Sensing and Imaging Technologies and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121550655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work demonstrates a green-band Scheimpflug lidar system by employing a high-power continuous-wave 520-nm laser diode as the laser source and an image sensor as the detector. Atmospheric remote measurement was continuously performed from October 28th to November 3rd on a near horizontal path, while a severe haze occurred during this period. The time-range backscattering map is obtained and the distribution of the atmospheric extinction coefficient is retrieved from the lidar signals based on the Fernald inversion algorithm. The spatial-averaged aerosol extinction coefficient shows good linearity with the PM10/PM2.5 concentrations measured by a local national pollution monitoring station.
{"title":"A green-band Scheimpflug lidar system: feasibility studies for atmospheric remote sensing","authors":"L. Mei, Zheng Kong, Peng Guan","doi":"10.1117/12.2503903","DOIUrl":"https://doi.org/10.1117/12.2503903","url":null,"abstract":"This work demonstrates a green-band Scheimpflug lidar system by employing a high-power continuous-wave 520-nm laser diode as the laser source and an image sensor as the detector. Atmospheric remote measurement was continuously performed from October 28th to November 3rd on a near horizontal path, while a severe haze occurred during this period. The time-range backscattering map is obtained and the distribution of the atmospheric extinction coefficient is retrieved from the lidar signals based on the Fernald inversion algorithm. The spatial-averaged aerosol extinction coefficient shows good linearity with the PM10/PM2.5 concentrations measured by a local national pollution monitoring station.","PeriodicalId":334634,"journal":{"name":"Optical Sensing and Imaging Technologies and Applications","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129135857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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