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	An Improved Aerosol Retrieval Algorithm for FY-4A/AGRI Data Based on the GRASP Framework 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4103517 作者: Wang, Huaxuan; Fan, Meng; Jiao, Sunxin; Yan, Huanhuan; Xu, Benben \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2025/04/21 Aerosols Sea surface Spatial resolution Monitoring MODIS Atmospheric modeling Reflectivity Instruments Accuracy Land surface Advanced Geostationary Radiation Imager (AGRI) aerosol optical depth (AOD) Fengyun-4A (FY-4A) generalized retrieval of atmosphere and surface properties (GRASP) optimal estimation method
	Research on Retrieval of Tropospheric Formaldehyde Profiles in Heshan Area From MAX-DOAS Measurements 期刊论文 OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 卷号: 44 作者: Qian Yuan-yuan \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2024/11/20 Multi-axis differential optical absorption spectroscopy Tropospheric formaldehyde Optimal estimation method Heshan Satellite calibration
	Measurements of Atmospheric Water Vapor by a 1.316 mu m Optical Fiber Laser Heterodyne Radiometer 期刊论文 OAI收割 FRONTIERS IN PHYSICS, 2022, 卷号: 10 作者: Huang, Jun; Huang, Yinbo; Lu, Xingji; Liu, Dandan; Yuan, Zihao \| 收藏 \| 浏览/下载：44/0 \| 提交时间：2022/03/28 laser heterodyne optical fiber water vapor concentration optimal estimation method field experiment
	Design of 3.66 mu m laser heterodyne spectrometer and retrieval of water vapor column concentration 期刊论文 OAI收割 JOURNAL OF INFRARED AND MILLIMETER WAVES, 2020, 卷号: 39 作者: Huang Jun; Huang Yin-Bo; Lu Xing-Ji; Cao Zhen-Song; Tan Tu \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2020/12/28 laser heterodyne solar spectrum optimal estimation method water vapor column concentration
	Application of CMOS APS star tracker with large FOV in attitude and angular velocity determination (EI CONFERENCE) 会议论文 OAI收割 Advanced Sensor Systems and Applications III, November 12, 2007 - November 14, 2007, Beijing, China Lu D.; Guang J.; Shaoju W.; Tao C. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 The paper deals with the spacecraft attitude determination problem using a new kind of star tracker with large FOV based on CMOS APS. Star tracker has been developed since 1970s and proved to be the most accurate sensor ever used in the spacecraft attitude determination systems. But the traditional CCD star tracker also has some disadvantages such as small FOV high power consumption low sample rate and low working angular rate limit which prevent the use of CCD star tracker in attitude large angle maneuvering process. The new kind of star tracker based on CMOS APS has no such disadvantages and is more applicable on modern low-cost agile small satellites. Its higher sample rate and working angular rate limit over traditional CCD star tracker make it more adapt for spacecraft angular velocity determination. Because of the large FOV of the star tracker the mathematical model of traditional CCD star tracker with a small FOV is not appropriate. So a new mathematical model was quoted to fit the star tracker with a large FOV. An alternative adaptive algorithm was also introduced in the paper. It can help the EKF algorithm work lacking of accurate covariance of the observation noise. An optimal estimation algorithm was used to estimate the angular velocity directly from the star tracker measurements. Mathematic simulation results indicate the CMOS APS star tracker can give accurate attitude information and estimated angular rate. The method can be used as the chief attitude determination system design of low-cost satellite without gyros or be used as a backup strategy in the event of gyro failures to enhance the reliability of the attitude determination system.
	Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割 2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.