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	Contour Primitive of Interest Extraction Network Based on Dual-Metric One-Shot Learning for Vision Measurement 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 4, 页码: 5839-5848 作者: Qin, Fangbo; Lin, Shan; Xu, De \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/11/17 Feature extraction Measurement Task analysis Imaging Image segmentation Prototypes Training Contour extraction deep learning metric learning one-shot learning vision measurement
	Quasi-Talbot effect of orbital angular momentum beams for generation of optical vortex arrays by multiplexing metasurface design 期刊论文 OAI收割 NANOSCALE, 2018, 卷号: 10, 期号: 2, 页码: 666-671 作者: Gao, Hui; Li, Yang; Chen, Lianwei; Jin, Jinjin; Pu, Mingbo \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/08/23 Angular momentum Contour measurement Diffraction gratings Numerical methods
	A new method of DEM generation from contour line EI期刊论文 OAI收割 2012 作者: Yue Tianxiang 收藏 \| 浏览/下载：13/0 \| 提交时间：2012/11/23 Contour measurement Control Forestry Optimization
	Scaling and analyzing the influence of fluid surface of fluid with nano-granular through speckle pattern experiment (EI CONFERENCE) 会议论文 OAI收割 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies, AOMATT 2007: Advanced Optical Manufacturing Technologies, July 8, 2007 - July 12, 2007, Chengdu, China 作者: Wang X.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 An optical system with double beam interference system was designed to measure the movement of nano-particles in fluid with laser speckle technology. In order to investigate the influence of the scattering light generated from liquid surface on speckle patterns the liquid surface contour was dynamically detected by WYKO during nano-particle movement. The result demonstrates that the fluctuation of fluid surface is slight. Meanwhile in order to further analyze this effect a piece of ground glass was employed. The process of ground glass to be polished to optical glass was studied and tested continuously using WYKO and laser speckle technology. And then the speckle patterns generated from kerosene fluid surface were studied. By contrast the results show that the fluid surface is transparent to the measurement wavelength. The influence of the surface of fluid can be neglected. Furthermore the conclusion illustrates that laser speckle technique is an effective and reliable method to study the movement of nano-granular in fluid.
	Research on terrain representation error and average slope error estimation model of Beijing based on DEM 会议论文 OAI收割 Geoinformatics 2007: Geospatial Information Science, Nanjing, China, May 25, 2007 - May 27,2007 Li, Jing; Zhang, Chao; Tang, Quan; Li, Haixia 收藏 \| 浏览/下载：8/0 \| 提交时间：2014/12/07 Error analysis Contour measurement Data acquisition Mathematical models
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	Automatic building extraction from LIDAR point data in urban areas 会议论文 OAI收割 Geoinformatics 2006: Remotely Sensed Data and Information, Wuhan, China, October 28, 2006 - October 29,2006 Chengyi, Wang; Zhongming, Zhao 收藏 \| 浏览/下载：14/0 \| 提交时间：2014/12/07 Optical radar Buildings Contour measurement Database systems Feature extraction Lasers Photodetectors Robustness (control systems) Vegetation