中国科学院机构知识库网格系统: 检索

Direct wavefront sensing from extended objects: a general sensor 期刊论文 OAI收割
Optical Engineering, 2021, 卷号: 60, 期号: 7, 页码: 073107-1～073107-17
作者: Li CW(李常伟); Lu YT(陆彦婷); Zhang SJ(张思炯)

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收藏 | 浏览/下载：67/0 | 提交时间：2022/04/01

wavefront sensing extended objects Fourier spatial spectrum

Enabling Smart Transportation Systems: A Parallel Spatio-Temporal Database Approach 期刊论文 OAI收割
IEEE TRANSACTIONS ON COMPUTERS, 2016, 卷号: 65, 期号: 5, 页码: 1377-1391
Ding, ZM; Yang, B; Chi, YY; Guo, LM

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收藏 | 浏览/下载：22/0 | 提交时间：2016/12/09

Spatial temporal moving objects database parallel-distributed general SQL query large volume

A ubiquitous knowledgeable data representation model (UKRM) for three-dimensional geographic information systems (3D GIS) SCI/SSCI论文 OAI收割
2016
作者: Zhang S. Q.; Zhou, C. H.; Zhang, J. Y.; Chen, X. C.; Zhang, YJ

收藏 | 浏览/下载：53/0 | 提交时间：2016/12/16

Discrete curved surface (DCS) Discrete body (DB) Discrete structure Function structure Mapping structure "2D/3D" integrated representation 3D GIS data model UKRM model spatial objects

Enhanced Subpixel Mapping With Spatial Distribution Patterns of Geographical Objects SCI/SSCI论文 OAI收割
2016
作者: Ge Y.; Chen, Y. H.; Stein, A.; Li, S. P.; Hu, J. L.

收藏 | 浏览/下载：26/0 | 提交时间：2016/12/16

Classification mixed pixel remotely sensed images spatial distribution patterns of geographical objects subpixel mapping (SPM) markov-random-field remote-sensing imagery shifted hyperspectral imagery sub-pixel scales sensed imagery map model regularization quantification constraints algorithms

Enhanced Subpixel Mapping With Spatial Distribution Patterns of Geographical Objects SCI/SSCI论文 OAI收割
2016
作者: Ge Y.; Chen, Y. H.; Stein, A.; Li, S. P.; Hu, J. L.

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收藏 | 浏览/下载：17/0 | 提交时间：2017/11/09

Classification mixed pixel remotely sensed images spatial distribution patterns of geographical objects subpixel mapping (SPM) markov-random-field remote-sensing imagery shifted hyperspectral imagery sub-pixel scales sensed imagery map model regularization quantification constraints algorithms

Sub-pixel land-cover mapping with improved fraction images upon multiple-point simulation SCI/SSCI论文 OAI收割
2013
作者: Ge Y.

收藏 | 浏览/下载：22/0 | 提交时间：2014/12/24

Soft classification Uncertainty Sub-pixel mapping Multiple-point simulation remotely-sensed images linear mixture model soft classification spatial-resolution neural-network objects

Describing spatial locations from perception and memory: The influence of intrinsic axes on reference object selection 期刊论文 OAI收割
JOURNAL OF MEMORY AND LANGUAGE, 2011, 卷号: 65, 期号: 2, 页码: 222-236
作者: Li, Xiaoou; Carlson, Laura A.; Mou, Weimin

收藏 | 浏览/下载：17/0 | 提交时间：2015/06/24

Intrinsic axes Reference frames Reference objects Spatial features Spatial descriptions

Formalizing natural-language spatial relations between linear objects with topological and metric properties SCI/SSCI论文 OAI收割
2007
作者: Xu J.

收藏 | 浏览/下载：25/0 | 提交时间：2012/06/08

spatial relations linear objects formalization topology geometric indices natural-language queries models

A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者: Yao Z.-J.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However 3. applying the standard Hough transform equation to every point of the input image edge 4. according to the local threshold 6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes traditional Hough transform can only detect the lines 2. quantizing the parameter space and extracting a group of maximums according to the global threshold eliminating spurious peaks which are caused by the spreading effects and will improve the precision of tracking. cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately 5. fixing on the endpoints of the segments according to the dynamic clustering rule which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image parameter and line-segment spaces

Imaging quality analysis of KBA x-ray microscope working at grazing incidence (EI CONFERENCE) 会议论文 OAI收割
Optical Design and Testing II, November 8, 2004 - November 11, 2004, Beijing, United states
作者: Zhao L.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

In the latest 20 years x-ray imaging technology has developed fast in order to meet the need of x-ray photo-etching spatial exploration technology high-energy physics procedure diagnosis of inertial confinement fusion (ICF) et al. Since refractive index of materials in the x-ray region is lower than 1 and x-ray is strongly absorbed by materials it is very difficult to image objects in the x-ray region. Conventional imaging methods are hardly suitable to x-ray range. In general grazing reflective imaging and coding aperture imaging methods have been adopted more and more. In this paper according to user's requirement we have designed a non-coaxial grazing KBA microscope. The microscope consists of two sets of perpendicular spherical mirrors each set includes two parallel mirrors. Taking it as an example we have compiled an optical computing program for the non-coaxial grazing imaging systems so as to analyze and evaluate aberrations of KBA microscope. Thus it can help us to get an optimal comprehension of KBA x-ray imaging system. In the same time the analytical results provide reliable foundation for evaluating imaging quality of KBA microscope.