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	Examining the spatial networks of an urban agglomeration through the lens of multi-dimensional element flow: Evidence from western China 期刊论文 OAI收割 HELIYON, 2023, 卷号: 9, 期号: 10, 页码: 16 作者: Zhang, Xiaohui; Zhang, Jifei \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2024/03/04 Flow space Traffic flow Information flow Migration flow Spatial structure Social network analysis Chengdu - chongqing urban agglomeration
	Infrared small target tracking algorithm based on temporal-spatial structure sparse Bayesian estimation 期刊论文 OAI收割 Infrared Physics & Technology, 2019, 卷号: 105, 期号: 3, 页码: 103106-1-14 作者: Li, Zhengzhou; Chen, Cheng; Liu, Depeng; Zhang, Chao; Zeng, Jingjie \| 收藏 \| 浏览/下载：98/0 \| 提交时间：2021/05/11 Sparse Representation Bayesian Inference Temporal-spatial Structure Prediction Structure Information Small Target Tracking
	Structure-Aware Local Sparse Coding for Visual Tracking 期刊论文 OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 8, 页码: 3857-3869 作者: Qi, Yuankai; Qin, Lei; Zhang, Jian; Zhang, Shengping; Huang, Qingming \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2019/12/10 Visual tracking local sparse coding spatial structure information template update
	图像识别中的特征表达方法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2015 作者: 刘颖璐收藏 \| 浏览/下载：216/0 \| 提交时间：2015/09/02 图像识别特征表达空间结构信息自适应汇聚多源异构数据分类 Image Recognition Feature Representation Spatial Structure Information Adaptive Pooling Multiple Outlooks Learning
	Study on spectrograph for ionosphere: A broadband imaging instrument prototype for far-ultraviolet (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China 作者: Wang S.-R.; Lin G.-Y.; Yu L. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Current research on space-based exploration for the ionosphere needs more advanced technologies. Because the spectral signals in the ionosphere distributing basically in the far-ultraviolet waveband are very weak. Usual spectrometer structures and detectors such as CCD can't receive enough information. Based on this principle of atmospheric sounding the imaging spectrometer prototype for ionosphere detection application was designed to solve the problem. This prototype consists of the telescope and the imaging spectrometer. The simple structure and small number of mirrors can help higher transmission efficiency be achieved and weak signals detection be implemented. The telescope is an off-axis parabolic mirror and the spectrometer is a modified Czerny-Turner spectral imaging system. Modified Czerny-Turner spectrometer contains a spherical mirror a fixed plane grating and a toroidal mirror. By adjusting the incident angle to the collimating mirror and using toroidal mirror coma and astigmatism were corrected well. We also optimize distances between the grating to the focusing mirror and the focusing mirror to the image plane to improve disadvantages of traditional Czerny-Turner structure. Designed results demonstrate that aberrations are substantially corrected and high image quality can be obtained in broad waveband. The photon counting Wedge-Strip-Anode detector with micro-channel planes as the receiving plane is accepted for the instrument prototype. The other photon counting 2-D detector responding well for weak light such as Cross-Delay line detector and MAMA detector can also be used for detection. The calibration and performances testing system is made of a vacuum system a deuterium lamp a monochrometer and the instrument prototype. Results obtained from the experiment show that the spectral resolution is 2.4 nm and the spatial resolution is 80 m. The other calibration experiments are running. The technology of the spectrometer prototype is important for the research and applications of ionosphere remote sensing. 2011 SPIE.
	A uncertainty analysis method based on geometric structure of geographic feature 会议论文 OAI收割 2008 Proceedings of Information Technology and Environmental System Sciences: Itess 2008, Vol 3, Beijing Guo, Jifa; Cui, Weihong; Wei, Fengyuan 收藏 \| 浏览/下载：23/0 \| 提交时间：2014/12/07 geographic information system (GIS) spatial data uncertainty G-Band geometric structure geographic feature
	Design of high-resolution fourier transform lens (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: Zhang L.; Zhang L. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 With the development of optical information processing high-resolution Fourier transform lens has often been used in holographic data storage system spatial filtering and observation of particles. This paper studies the optical design method of high-resolution Fourier transform optical lenses system which could be used in particles observation and holographic data storage system. According to Fourier transform relation between object and its frequency plane and the theory of geometrical optics the system with working wavelength 532nm and resolution 3 m was designed based on ZEMAX. A multi-configuration method was adopted to optimize the system's lenses. In the optical system a diaphragm was placed at the system's spectrum plane and the system demanded a low vacuum to cut down the influences of atmosphere and other particles. The result of finite element analysis indicated that the influences of vacuum pumping to optics spacing and mirror surface shape very minor and the imaging quality not being affected. This system has many advantages such as simple structure good image quality and a high resolution of 3 m. So it has a wide application prospect and can be used both in holographic data storage system and particles observation.
	Excitatory and suppressive receptive field subunits in awake monkey primary visual cortex (V1) 期刊论文 OAI收割 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 卷号: 104, 期号: 48, 页码: 19120-19125 作者: Poo, Mu-ming 收藏 \| 浏览/下载：17/0 \| 提交时间：2012/07/23 CAT STRIATE CORTEX COMPLEX CELLS INFORMATION-TRANSMISSION SPATIAL STRUCTURE MACAQUE V1 SEQUENCES FEATURES NEURONS