中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [4]
国家空间科学中心 [2]
长春光学精密机械与物... [2]
地理科学与资源研究所 [1]
成都山地灾害与环境研... [1]
寒区旱区环境与工程研... [1]
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OAI收割 [11]
iSwitch采集 [1]
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期刊论文 [7]
会议论文 [3]
SCI/SSCI论文 [1]
学位论文 [1]
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2025 [1]
2020 [1]
2019 [2]
2012 [2]
2010 [3]
2000 [1]
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微波遥感 [2]
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Probability analysis of shallow landslides in varying vegetation zones with random soil grain-size distribution
期刊论文
OAI收割
ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 卷号: 183, 页码: 18
作者:
Jiang, Hu
;
Zou, Qiang
;
Li, Yong
;
Jiang, Yao
;
Cui, Junfang
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/12/23
landslide
Slope stability
Susceptibility prediction
Random soil strength parameter
Machine learning
Vegetated slopes
Study onCO(2)gasification kinetics of biomass char based on pore structure analysis: Theoretical modelling of structural parameter psi in random pore model
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 页码: 14
作者:
Song, Qianshi
;
Wang, Xiaohan
;
Gu, Chunhan
;
Li, Haowen
;
Huo, Jiepeng
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/10/22
biomass char
CO(2)gasification
pore structure
random pore model
structural parameter
A hierarchical mixed logit model of individuals' return decisions after Hurricane Katrina
期刊论文
iSwitch采集
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2019, 卷号: 34, 页码: 443-447
作者:
Hu, Da
;
Yu, Wenbing
;
Zhao, Junxuan
;
Liu, Weibo
;
Han, Fenglei
收藏
  |  
浏览/下载:105/0
  |  
提交时间:2019/10/08
Hurricane Katrina
Return decision
Random parameter
Mixed logit
Heterogeneity
Parameter optimization criteria guided 3D point cloud classification
期刊论文
OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 4, 页码: 5081-5104
作者:
Li, Hongjun
;
Meng, Weiliang
;
Liu, Xinying
;
Xiang, Shiming
;
Zhang, Xiaopeng
  |  
收藏
  |  
浏览/下载:71/0
  |  
提交时间:2019/07/12
Point cloud classification
Feature extraction
Conditional random field
Parameter optimization criterion
Probabilistic neural network
The Appropriate Parameter Retrieval Algorithm for Feature-Based SAR Image Registration
会议论文
OAI收割
Conference on SAR Image Analysis, Modeling and Techniques XII, Edinburgh, SCOTLAND, SEP 26-27, 2012
作者:
Li, Dong
;
Zhang, Yunhua
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2014/12/15
Extended fast least trimmed squares (EF-LTS)
feature-based image registration
parameter estimation
random sample consensus (RANSAC)
synthetic aperture radar (SAR)
A novel approach for the registration of weak affine images
期刊论文
OAI收割
PATTERN RECOGNITION LETTERS, 2012, 卷号: 33, 期号: 12, 页码: 1647-1655
作者:
Li, Dong
;
Zhang, Yunhua
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2014/12/15
Fast least trimmed squares (Fast-LTS)
Image registration
Parameter estimation
Random sample consensus (RANSAC)
Weak affine transformation
Electro-optical imaging system identification using pseudo-random binary pattern (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Le Y.
;
Jian W.
;
Jianzhong Z.
;
Qiang S.
;
Jianzhuo L.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2013/03/25
A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable
linear
time-invariant
and causal filter
and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator
and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process
overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.0-64. 2010 IEEE.
Modulation transfer function measurement of sampled imaging systems in field test (EI CONFERENCE)
会议论文
OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China
作者:
Yang L.
;
Zhang J.
;
Zhang J.
;
Zhang J.
;
Wang J.
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/03/25
A digital mirror device (DMD) based light projector was developed as the target generator in modulation transfer function (MTF) measurement. In order to overcome the sampling-scene phase effect in MTF measurement of sampled imaging systems
a method using random targets is introduced to yield a phase-averaged MTF. The main potential problem of implementing this method is the fact that the stationary assumption of the random targets may be vitiated in practical measurement
especially in field test due to the ill condition. We provide an efficient model-independent way of analyzing and isolating the spectral contents arising from these additional contributions to MTF measurement. Algorithms with adaptive parameter selection were also developed for spectral estimation of the test image in order to overcome the challenge brought by the size limit of the test matrices for one certain field of view derived from the isoplantic region. The MTF measurement of a CCD video imager is used to demonstrate the measurement technique and illustrate the benefits over other methods. In order to validate the results
comparisons have been made between MTF measurements of imager implemented using this method and bar target direct measurements. 2010 Copyright SPIE - The International Society for Optical Engineering.
Uncertainty analysis of eddy flux measurements in typical ecosystems of ChinaFLUX
SCI/SSCI论文
OAI收割
2010
作者:
Zhang L.
;
Zhang L.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2012/06/08
Eddy covariance
Measurement error
Random error
Flux
Uncertainty
ChinaFLUX
carbon-dioxide exchange
long-term
parameter-estimation
covariance
technique
water-vapor
forest
model
errors
respiration
algorithms
Bayesian learning, global competition and unsupervised image segmentation
期刊论文
OAI收割
PATTERN RECOGNITION LETTERS, 2000, 卷号: 21, 期号: 2, 页码: 107-116
作者:
Guo, GD
;
Ma, SD
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2015/11/08
Bayesian learning
global competition
unsupervised image segmentation
Markov random field
parameter estimation