中国科学院机构知识库网格系统: 检索

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	A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974 作者: Jin, Shichao; Sun, Yanjun; Zhao, Xiaoqian; Hu, Tianyu; Guo, Qinghua \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/03/01 Digital terrain model (DTM) deep learning fully convolutional neural network (FCN) ground filtering light detection and ranging (LiDAR)
	Ground target geolocation based on digital elevation model for airborne wide-area reconnaissance system 期刊论文 OAI收割 Journal of Applied Remote Sensing, 2018, 卷号: 12, 页码: 18 作者: Qiao, C.; Ding, Y. L.; Xu, Y. S.; Xiu, J. H. \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2019/09/17 aerial remote sensing wide-area reconnaissance system geolocation digital elevation model elliptical Earth model moving average filtering cooperative localization Environmental Sciences & Ecology Remote Sensing Imaging Science & Photographic Technology
	Force measurement in a shock tunnel with 100 milliseconds test duration 会议论文 OAI收割 34th AIAA Applied Aerodynamics Conference, 2016, Washington, DC, United states, June 13, 2016 - June 17, 2016 作者: Wang YP(汪运鹏); Liu YF(刘云峰); Luo ZT(罗长童); Jiang ZL(姜宗林) 收藏 \| 浏览/下载：39/0 \| 提交时间：2017/05/05 Aerodynamic forces Chinese Academy of Sciences Different structure Digital filtering Large scale modeling Low frequency vibration Strain gauge balances Strain gauge sensors
	Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas 期刊论文 OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 117, 页码: 79-91 作者: Zhao, Xiaoqian; Guo, Qinghua; Su, Yanjun; Xue, Baolin \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/07/08 Light detection and ranging Ground filtering Ground points Triangulated irregular network Digital terrain model
	Electro-optical imaging system identification using pseudo-random binary pattern (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Le Y.; Jian W.; Jianzhong Z.; Qiang S.; Jianzhuo L. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable linear time-invariant and causal filter and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.0-64. 2010 IEEE.
	Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T. 收藏 \| 浏览/下载：67/0 \| 提交时间：2013/03/25 In the transportation monitor system we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately the arithmetic proposed in the paper can suppress shadow availably we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE. and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering
	Chip design of linear CCD drive pulse generator and control interface (EI CONFERENCE) 会议论文 OAI收割 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies - Advanced Optical Manufacturing and Testing Technologies, November 2, 2005 - November 5, 2005, Xian, China 作者: Sun H.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 CCD noises and their causes are analyzed. Methods to control these noises such as Correlated Double Sampling (CDS) filtering cooling clamping and calibration are proposed. To improve CCD sensor's performances the IC called Analog Front End (AFE) integration of CDS clamping Programmable Gain Amplifier (PGA) offset and ADC which can fulfill the CDS and analog-to-digital conversion is employed to process the output signal of CCD. Based on the noise control approaches the idea of chip design of linear CCD drive pulse generator and control interface is introduced. The chip designed is playing the role of (1) drive pulse generator for both CCD and AFE and (2) interface helping to analysis and transfer control command and status information between MCU controller and drive pulse generator or between global control unit in the chip and CCD/AFE. There are 6 function blocks in the chip designed such as clock generator for CCD and AFE MCU interface AFE serial interface output interface CCD antiblooming parameter register and global control logic unit. These functions are implemented in a CPLD chip Xilinx XC2C256-6-VQ100 with 20MHz pixel frequency and 16-bit high resolution. This chip with the AFE can eliminate CCD noise largely and improve the SNR of CCD camera. At last the design result is presented.
	Adaptive noise reduction of InSAR data based on anisotropic diffusion models and their applications to phase unwrapping 会议论文 OAI收割 Wave Propagation, Scattering and Emission in Complex Media, Beijing Wang, C; Gao, X; Zhang, H 收藏 \| 浏览/下载：32/0 \| 提交时间：2014/12/07 vector digital TV filtering nonlinear diffusion equation phase unwrapping EDGE-DETECTION RADAR INTERFEROMETRY NONLINEAR DIFFUSION ALGORITHMS FILTER