中国科学院机构知识库网格系统: 检索

Noise Suppression of airborne gravity data with minimum curvature model 期刊论文 OAI收割
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2024, 卷号: 67, 期号: 10, 页码: 3959-3972
作者: Wang, Hao; Xiong, Shengqing; He, Tao; Wang, Wanyin

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收藏 | 浏览/下载：5/0 | 提交时间：2024/12/20

Airborne gravity data/ Minimum curvature/ Noise suppression/ Relaxation iteration technique

Research on the enhancement of signal-to-noise ratio by radio frequency white noise in compact dense-pattern multipass cell for trace gas detection 期刊论文 OAI收割
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2022
作者: Tian, Xing; Cheng, Gang; Chen, Jiajin; Liu, Kun

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收藏 | 浏览/下载：56/0 | 提交时间：2022/03/21

minimum detectable concentration optical interference radio frequency bandwidth-limited white noise signal-to-noise ratio

Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration 期刊论文 OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 450-465
作者: Lujuan Dang; Badong Chen; Yulong Huang; Yonggang Zhang; Haiquan Zhao

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收藏 | 浏览/下载：34/0 | 提交时间：2022/03/09

Cubature Kalman filter (CKF) inertial navigation system (INS)/global positioning system (GPS) integration minimum error entropy with fiducial points (MEEF) non-Gaussian noise

A dynamic-solver-consistent minimum action method: With an application to 2D Navier-Stokes equations 期刊论文 OAI收割
JOURNAL OF COMPUTATIONAL PHYSICS, 2017, 卷号: 331, 页码: 209-226
作者: Wan, Xiaoliang; Yu, Haijun

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收藏 | 浏览/下载：24/0 | 提交时间：2018/07/30

Minimum action method Rare events White noise Colored noise Finite element method Numerical adaptivity

Grain flow signal reduction noise using EMD 期刊论文 OAI收割
International Agricultural Engineering Journal, 2015, 卷号: 24, 期号: 2, 页码: 152-158
作者: Wang H(王鹤); Hu JT(胡静涛)

收藏 | 浏览/下载：47/0 | 提交时间：2015/12/20

grain flow empirical mode decomposition minimum energy criterion reduction noise method

Research on Identification of Cabbages and Weeds Combining Spectral Imaging Technology and SAM Taxonomy SCI/SSCI论文 OAI收割
2015
作者: Zu Q.; Zhang, S. F.; Cao, Y.; Zhao, H. Y.; Dang, C. Q.

收藏 | 浏览/下载：31/0 | 提交时间：2015/12/09

Spectral imaging Spectral angle mapper Cabbage Weed Minimum noise fraction rotation

Lithological discrimination of the mafic-ultramafic complex, Huitongshan, Beishan, China: Using ASTER data SCI/SSCI论文 OAI收割
2014
作者: Liu L.; Zhou J.; Jiang D.; Zhuang D. F.; Mansaray L. R.

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收藏 | 浏览/下载：150/0 | 提交时间：2014/12/24

Mafic-ultramafic Complex Aster Data Band Ratio Minimum Noise Fraction Mafic Index Principal Component Analysis Spaceborne Thermal Emission Reflection Radiometer Aster Mineral-resources West Junggar Field Data Area Ophiolite Xinjiang

Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE) 会议论文 OAI收割
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
作者: Zhou J.

收藏 | 浏览/下载：152/0 | 提交时间：2013/03/25

The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm the paper presents bicubic interpolation gray square weighted centroid localization algorithm increases the number of effective pixels around the optical characteristic point imaging center and reduces noise error via the gray square weighted improves the imaging center location accuracy of optical characteristic point realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location the standard tolerance along the direction of x is 0.0022 Pixel the standard tolerance along the direction of y is 0.0023 Pixel compared with the others the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point that is the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel the one along the direction of y is 0.007 Pixel compared with the other two algorithms the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications Switzerland.

On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文 OAI收割
2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China
作者: Yu P.; Yu P.; Gao X.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

As an effective statistical learning tool AdaBoosting has been widely used in the field of pattern recognition. In this paper a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality whilst to remove noise bands simultaneously. Then we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.

Evaluation of the operating range for ground-based infrared imaging tracking system (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者: Zhang Z.-D.

收藏 | 浏览/下载：48/0 | 提交时间：2013/03/25

Ground-based infrared imaging tracking system (GIITS) is of great importance for aerial target warning and guard. The operating range is one of the key performance specifications on the other which should be calculated calculate the radiation power received on the detector in order to analysis whether the output signal meets the detection requirements or not analyzed and studied during the whole GIITS design process. The operating range is mostly influenced by a few factors without considering the effect of the background radiation. By improving of the traditional method including atmospheric attenuation a new operating range calculation model of the GIITS was established based on two requirements. One is that the image size of observed target should meet the requirement of the processor signal extraction. The number of the pixel occupied by target image should be more than 9. The other is that the signal noise ratio (SNR) of the GIITS should not be less than 5 to meet the requirements of the target detection probability and spatial frequency. The SNR calculation equation in form of energy is deduced and the radiation characteristic of the observed target and background are analyzed. When evaluate the operating range of the GIITS using the new method the performance of GIITS and feature of target and background. This paper firstly makes analysis and summarization on the definite localizations of the traditional operating range equation of the GIITS. The localizations are mainly in two aspects. On one hand we should successively calculate two operating range values according to two requirements mentioned above and choose the minimum value as the analytic result. In the end the dispersion of the image and the effect of image dispersion are not considered in the traditional method an evaluation of operating range for fighter aircraft is accomplished as an example. The influence factors in every aspect on operating range were explored by the calculated result. The new operating range calculation model provides the theoretical basis for the design and applications as well as the comprehensive evaluation of a GIITS. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).