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CAS IR Grid
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地理科学与资源研究所 [3]
自动化研究所 [3]
新疆生态与地理研究所 [2]
长春光学精密机械与物... [2]
数学与系统科学研究院 [1]
遥感与数字地球研究所 [1]
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OAI收割 [14]
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会议论文 [5]
期刊论文 [5]
SCI/SSCI论文 [2]
学位论文 [2]
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Image Retargetability
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 3, 页码: 641-654
作者:
Tang, Fan
;
Dong, Weiming
;
Meng, Yiping
;
Ma, Chongyang
;
Wu, Fuzhang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2020/06/02
Visualization
Task analysis
Distortion
Measurement
Image resolution
Convolutional neural networks
Semantics
Image retargetability
visual attributes
multi-task learning
deep convolutional neural network
城市空间格局多源遥感协同提取与特征分析
学位论文
OAI收割
北京: 中国科学院大学, 2019
作者:
李治
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/12/10
高空间分辨率遥感
多源空间信息协同
多特征提取
城市空间格局分析
High-spatial-resolution Remote Sensing
Multi-source Spatial Information Collaboration
Multi-feature Extraction
Urban Spatial Pattern Analysis
Quantitative analysis of vascular parameters for micro-CT imaging of vascular networks with multi-resolution
期刊论文
OAI收割
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2016, 卷号: 54, 期号: 2-3, 页码: 511-524
作者:
Zhao, Fengjun
;
Liang, Jimin
;
Chen, Xueli
;
Liu, Junting
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2016/10/20
Micro-computed Tomography
Multi-resolution
Quantitative Analysis
Vascular Networks
A line mapping based automatic registration algorithm of infrared and visible images
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ai R(艾锐)
;
Shi ZL(史泽林)
;
Xu DJ(徐德江)
;
Zhang CS(张程硕)
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.
Improvement of urban land use and land cover classification approach in arid areas
会议论文
OAI收割
Proceedings of SPIE - The International Society for Optical Engineering, Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010
Qian
;
Jing1
;
2
;
Zhou
;
Qiming1
;
Chen
;
Xi2
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2011/08/23
Arid regions - Image analysis - Image classification - Land use - Landforms - Maximum likelihood - Photography - Pixels - Remote sensing - Signal processing - Aerial Photographs - Arid area - Bare soils - Beijing-1 - Built-up areas - Classification approach - Classification results - Construction materials - Data sets - Discrete elements - Extraction accuracy - Field investigation - High resolution image - Land-cover types - Landsat ETM - Maximum likelihood classifications - Mixed pixel - Multi-sensor data - Object oriented - object-oriented classification method - Object-oriented processing - Spectral characteristics - Stony deserts - Urban areas - Urban change detection - Urban environments - Urban land use
Multi-scale digital terrain analysis and feature selection for digital soil mapping
SCI/SSCI论文
OAI收割
2010
Behrens T.
;
Zhu A. X.
;
Schmidt K.
;
Scholten T.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2012/06/08
Multi-scale digital terrain analysis
Feature selection
Spatial data
mining
Digital soil mapping
ANOVA
Principal components analysis
Random subsets
Decision trees
scale-dependent correlation
random subspace method
dem resolution
fuzzy-logic
map scale
model
landscapes
areas
silty
size
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
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浏览/下载:25/0
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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.
Extraction of residential information from high-spatial resolution image integrated with upscaling methods and object multi-features - art. no. 678605
会议论文
OAI收割
Mippr 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, Pts 1 and 2, Bellingham
Dong, Lixin
;
Wu, Bingfang
收藏
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浏览/下载:14/0
  |  
提交时间:2014/12/07
upscaling methods
object multi-features
semi-variance analysis
multi-resolution
residential area
TEXTURE
METRICS
SCALE
SAR
多普勒分集和小波接收机
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
作者:
石广建
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2015/09/02
双选择性信道
多径分集
多普勒分集
小波分析
小波接收机
doubly-selective channel
multi-path diversity
Doppler diversity
Multi-resolution Analysis (MRA) framework
wavelet receiver
A novel starting-point-independent wavelet coefficient shape matching (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Hu S.
;
Zhu M.
;
Wu C.
;
Song H.-J.
收藏
  |  
浏览/下载:18/0
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提交时间:2013/03/25
In many computer vision tasks
in order to improve the accuracy and robustness to the noise
wavelet analysis is preferred for the natural multi-resolution property. However
the wavelet representation suffers from the dependency of the starting point of the sampled contour. For overcoming the problem that the wavelet representation depends on the starting point of the sampled contour
the Zernike moments are introduced
and a novel Starting-Point-lndependent wavelet coefficient shape matching algorithm is presented. The proposed matching algorithm firstly gains the object contours
and give the translation and scale invariant object shape representation. The object shape representation is converted to the dyadic wavelet representation by the wavelet transform. And then calculate the Zernike moments of wavelet representation in different scales. With respect to property of rotation invariant of Zernike moments
consider the Zernike moments as the feature vector to calculate the dissimilarity between the object and template image
which overcoming the problem of dependency of starting point. The experimental results have proved the proposed algorithm to be efficient
precise
and robust.