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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地质与地球物理研究所 [2]
长春光学精密机械与物... [2]
地理科学与资源研究所 [1]
中国科学院大学 [1]
自动化研究所 [1]
采集方式
OAI收割 [6]
iSwitch采集 [1]
内容类型
期刊论文 [4]
会议论文 [2]
学位论文 [1]
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2023 [2]
2020 [1]
2012 [1]
2010 [1]
2006 [1]
2005 [1]
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学科主题
Environmen... [1]
Geology [1]
Imaging Sc... [1]
Remote Sen... [1]
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A Self-Adaptive Thresholding Approach for Automatic Water Extraction Using Sentinel-1 SAR Imagery Based on OTSU Algorithm and Distance Block
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 10, 页码: 2690
作者:
Tan, Jianbo
;
Tang, Yi
;
Liu, Bin
;
Zhao, Guang
;
Mu, Yu
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/07/14
self-adaptive thresholding approach
automatic water extraction
OTSU
distance block
water extent
Sentinel-1
Unsupervised FISTA-Net-Based Adaptive Subtraction for Seismic Multiple Removal
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 9
作者:
Li, Zhongxiao
;
Sun, Keyi
;
Zeng, Tongsheng
;
Ma, Jiahui
;
Qi, Zhen
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/12/29
Adaptive subtraction
fast iterative shrinkage thresholding algorithm (FISTA)-Net
multiple removals
unsupervised
Adaptive step-size fast iterative shrinkage-thresholding algorithm and sparse-spike deconvolution
期刊论文
OAI收割
COMPUTERS & GEOSCIENCES, 2020, 卷号: 134, 页码: 12
作者:
Pan, Shulin
;
Yan, Ke
;
Lan, Haiqiang
;
Badal, Jose
;
Qin, Ziyu
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/05/18
Fast iterative shrinkage-thresholding algorithm
Adaptive step-size algorithm
Linear search approach
Convergence rate
Sparse-spike deconvolution
便携式心电监护终端动态心电检测的研究
学位论文
OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2012
施帆
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2015/09/02
动态心电
便携式心电监护
心电检测
小波变换
自适应阈值判别
Dynamic ECG
Portable ECG monitor
Detection of DCG
Wavelet Transform
Adaptive-Thresholding
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:23/0
  |  
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.
Adaptive Image Segmentation based on Fast Thresholding and Image Merging (EI CONFERENCE)
会议论文
OAI收割
16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006, November 29, 2006 - December 1, 2006, Hangzhou, China
作者:
Zhang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation
it can be applied in many conditions
based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However
including complex target segmented. We describe the algorithm in detail and perform simulation experiments. The computation based on pixels can fully parallel processing to save time. 2006 IEEE.
not all the peaks of the histogram correspond to obvious structural unit in the image. Spatial information must be involved. This paper also suggests subjoining segments matching for video image tracking. They will give great help to image segmentation. The proposed algorithm can meet the real-time requirement and lead to higher segmentation accuracy
some types of texture can also be segmented well
Thresholding technique with adaptive window selection for uneven lighting image
期刊论文
iSwitch采集
Pattern recognition letters, 2005, 卷号: 26, 期号: 6, 页码: 801-808
作者:
Huang, QM
;
Gao, W
;
Cai, WJ
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/05/10
Image segmentation
Thresholding
Adaptive window selection
Lorentz information measure