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CAS IR Grid
机构
地理科学与资源研究所 [2]
武汉物理与数学研究所 [2]
长春光学精密机械与物... [1]
高能物理研究所 [1]
自动化研究所 [1]
西安光学精密机械研究... [1]
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OAI收割 [8]
内容类型
期刊论文 [7]
会议论文 [1]
发表日期
2024 [1]
2023 [2]
2016 [2]
2013 [1]
2008 [1]
学科主题
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CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148
作者:
Wan, Ling
;
Tian, Ye
;
Kang, Wenchao
;
Ma, Lei
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/02/20
Feature extraction
Task analysis
Remote sensing
Transformers
Deep learning
Semantics
Support vector machines
Category context learning (CCL)
clustering learning (CL)
difference map refinement (DMR)
optical remote sensing image
change detection (CD)
Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH, 2023, 卷号: 216, 页码: 12
作者:
Feng, Zhaohui
;
Xu, Chengjian
;
Zuo, Yiping
;
Luo, Xi
;
Wang, Lingqing
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/12/20
Water quality indexes
Normalized difference vegetation index
Self-organizing map
Geographically and temporally weighted
regression
Analysis of water quality indexes and their relationships with vegetation using self-organizing map and geographically and temporally weighted regression
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH, 2023, 卷号: 216, 页码: 12
作者:
Feng, Zhaohui
;
Xu, Chengjian
;
Zuo, Yiping
;
Luo, Xi
;
Wang, Lingqing
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/12/20
Water quality indexes
Normalized difference vegetation index
Self-organizing map
Geographically and temporally weighted
regression
Chaotic synchronization between linearly coupled discrete fractional Henon maps
期刊论文
OAI收割
INDIAN JOURNAL OF PHYSICS, 2016, 卷号: 90, 期号: 3, 页码: 313-317
作者:
Liu, Y.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2016/07/12
Discrete fractional calculus
Chaotic synchronization
Fractional Henon map
Caputo-like delta difference
Chaotic synchronization between linearly coupled discrete fractional Henon maps
期刊论文
OAI收割
INDIAN JOURNAL OF PHYSICS, 2016, 卷号: 90, 期号: 3, 页码: 313-317
作者:
Liu, Y.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2016/07/12
Discrete fractional calculus
Chaotic synchronization
Fractional Henon map
Caputo-like delta difference
Direct demodulation method for heavy atom position determination in protein crystallography
期刊论文
OAI收割
Chinese Physics C, 2013, 期号: 1, 页码: 133-137
作者:
Zhou L(周亮)
;
Liu ZC(刘忠川)
;
刘鹏(多)
;
Dong YH(董宇辉)
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2015/12/25
direct demodulation method
heavy atom sites
difference Patterson map
protein crystallography
Annular sub-aperture stitching interferometry for testing of large asphreical surfaces (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Optoelectronic System Design, Manufacturing, and Testings, September 9, 2007 - September 12, 2007, Beijing, China
作者:
Zheng L.-G.
;
Zhang X.-J.
;
Deng W.-J.
;
Wang X.-K.
收藏
  |  
浏览/下载:78/0
  |  
提交时间:2013/03/25
Annular subaperture stitching interferometric technology can test large-aperture
and the PV and RMS of residual error of the full aperture phase distribution is 0.027 and 0.0023
high numerical aperture aspheric surfaces with high resolution
the relative error of PV and RMS is -0.53% and -0.31%
respectively. The results conclude that this splicing model and algorithm are accurate and feasible. So it provides another quantitive measurement for test aspheric surfaces especially for large aperture aspheres besides null-compensation.
low cost and high efficiency without auxiliary null optics. In this paper
the basic principle and theory of the stitching method are introduced
the reasonable mathematical model and effective splicing algorithm are established based on simultaneous least-squares method and Zernike polynomial fitting. The translation errors are eliminated from each subaperture through the synthetical optimization stitching mode
it keeps the error from transmitting and accumulating. The numerical simulations have been carried on by this method. As results
the surface map of the full aperture after stitching is consistent to the input surface map
the difference of PV error and RMS error between them is -0.0074 and -0.00052 ( is 632.8nm)
respectively
Phase retrieval based on difference map and deep neural networks
期刊论文
OAI收割
Journal of Modern Optics
作者:
Li, Baopeng
;
Ersoy, Okan K.
;
Ma, Caiwen
;
Pan, Zhibin
;
Wen, Wansha
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/10/11
Phase retrieval
difference map
deep neural network
U-net
coherent diffractive imaging