CORC

在结果中检索

CORC

浏览/检索结果: 共12条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Transverse wind measurement with Shack-Hartmann wavefront sensor 会议论文
Chengdu, China, December 13, 2017 - December 16, 2017
作者:  Li, Zhenghan;  Li, Xinyang
收藏  |  浏览/下载：27/0  |  提交时间：2019/08/23
Transverse wind Measurement with Shack-Hartmann Wavefront Sensor 会议论文
Chengdu, China, 2017.12.13-16
作者:  Zhenghan Li;  Xinyang Li
收藏  |  浏览/下载：17/0  |  提交时间：2019/04/30
The Analysis on the Sensitivity of Geogrid Reinforcement Factors in Mine-Tailing Slopes 会议论文
2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications（MSOTA 2016）, 中国福建厦门, 2016-12-18
作者:  Lei, Xiaolin;  Qi, Chunming*;  Nie, Chunlong;  Yang, Fan
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/27
Slope variance obtaining from buoy data and validation by TOPEX/Poseidon measurements 会议论文
Belle Mare, Mauritius, 2019-9-21
作者:  Panfilova, M.A.;  araev, V.Yu.;  Titchenko, Yu.A.;  Jie, Guo
收藏  |  浏览/下载：26/0  |  提交时间：2019/02/13
Effect of sea wave age on scatterometer measurements and wind speed retrieval accuracy 会议论文
Vienna, Austria, 2015-4-12
作者:  Panfilova, Maria;  Karaev, Vladimir;  Jie, Guo
收藏  |  浏览/下载：15/0  |  提交时间：2019/02/13
A Multi-feature based Morphological Algorithm for ST Shape Classification 会议论文
IEEE EMBC 2015, Milano
作者:  Shuqiong Fan;  Fen Miao;  Ruiqing Ma;  Ye Li
收藏  |  浏览/下载：11/0  |  提交时间：2016/01/27
Spatial variation of plant diversity and vegetation-environment relationships in the south part of Gurbantunggut desert, Xinjiang, China 会议论文
2009 International Conference on Environmental Science and Information Application Technology, ESIAT, Wuhan, China, 2009
Zhao; Huai-Bao1; Liu; Tong2; Tao; Ye1; Sun; Long-De3
收藏  |  浏览/下载：23/0  |  提交时间：2011/08/23
Exploring the Determinants of Soil and Water Conservation Measures with Data Mining Techniques 会议论文
Chongqing, DEC 25-27, 2009
作者:  Dai Fuqiang;  Liu Gangcai
收藏  |  浏览/下载：0/0  |  提交时间：2020/07/10
DEM based research on the landform features of China 会议论文
Wuhan, OCT 28-29, 2006
作者:  Tang Guoan;  Liu, Aili;  Li Fayuan;  Zhou Jieyu
收藏  |  浏览/下载：1/0  |  提交时间：2020/02/13
Measuring the system gain of the TDI CCD remote sensing camera (EI CONFERENCE) 会议论文
Advanced Materials and Devices for Sensing and Imaging II, November 8, 2004 - November 10, 2004, Beijing, China
Ya-xia L.; Hai-ming B.; Jie L.; Jin R.; Zhi-hang H.
收藏  |  浏览/下载：52/0  |  提交时间：2013/03/25
The gain of a TDI CCD camera is the conversion between the number of electrons recorded by the TDI CCD and the number of digital units (counts) contained in the CCD image"[1]. TDI CCD camera has been a main technical approach for meeting the requirements of high-resolution and lightweight of remote sensing equipment. It is useful to know this conversion for evaluating the performance of the TDI CCD camera. In general  a lower gain is better. However  the resulting slope is the gain of the TDI CCD. We did the experiments using the Integration Sphere in order to get a flat field effects. We calculated the gain of the four IT-EI-2048 TDI CCD. The results and figures of the four TDI CCD are given.  this is only true as long as the total well depth (number of electrons that a pixel can hold) of the pixels can be represented. High gains result in higher digitization noise. System gains are designed to be a compromise between the extremes of high digitization noise and loss of well depth. In this paper  the mathematical theory is given behind the gain calculation on a TDI CCD camera and shows how the mathematics suggests ways to measure the gain accurately according to the Axiom Tech. The gains were computed using the mean-variance method  also known as the method of photon transfer curves. This method uses the effect of quantization on the variance in the measured counts over a uniformly illuminated patch of the detector. This derivation uses the concepts of signal and noise. A linear fit is done of variance vs. mean  

©版权所有 ©2017 CSpace - Powered by CSpace