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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
遥感与数字地球研究... [11]
地理科学与资源研究所 [1]
长春光学精密机械与物... [1]
海洋研究所 [1]
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OAI收割 [14]
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会议论文 [12]
期刊论文 [2]
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2022 [1]
2020 [1]
2012 [1]
2010 [1]
2009 [3]
2008 [1]
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A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Xu, Huan
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/02/18
Marine vehicles
Radar polarimetry
Feature extraction
Synthetic aperture radar
Data mining
Radar imaging
Oceans
Custom loss function
deep learning (DL)
deep neural network (DNN) regression
ship size extraction
synthetic aperture radar (SAR) image
Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 6, 页码: 14
作者:
Jiang, Jingchao
;
Qin, Cheng-Zhi
;
Yu, Juan
;
Cheng, Changxiu
;
Liu, Junzhi
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/03/23
urban flooding
waterlogging depth
video image
synthetic image data
reference object detection
convolutional neural network
A visual circle based image registration algorithm for optical and SAR imagery
会议论文
OAI收割
2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012,, Munich, Germany, July 22, 2012 - July 27,2012
Shi, Wei
;
Su, Fenzhen
;
Wang, Ruirui
;
Fan, Junfu
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2014/12/07
Synthetic aperture radar
Algorithms
Feature extraction
Geology
Image matching
Image registration
Optical data processing
Remote sensing
Aircraft discrimination in high resolution SAR images based on texture analysis
会议论文
OAI收割
2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics, CAR 2010, Wuhan, China, March 6, 2010 - March 7,2010
Zhang, Liping
;
Wang, Chao
;
Zhang, Hong
;
Zhang, Bo
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2014/12/07
Synthetic aperture radar
Aircraft
Errors
Feature extraction
Image processing
Imaging systems
Information science
Pixels
Radar
Robotics
Security of data
Synthetic apertures
Targets
Textures
Tracking radar
The simulation of SAR image of nature scene
会议论文
OAI收割
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, Zhangjiajie, China, July 11, 2009 - July 12,2009
Wen, Xiaoyang
;
Wang, Chao
;
Zhang, Hong
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2014/12/07
Optical data processing
Agricultural engineering
Electromagnetic wave scattering
Geometrical optics
Image processing
Imaging systems
Physical optics
Remote sensing
Synthetic apertures
Forest parameters estimation using polarimetric SAR data
会议论文
OAI收割
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, October 30, 2009 - November 1,2009
Li, Kun
;
Shao, Yun
;
Zhang, Fengli
;
Xu, Maosong
;
Li, Xiaofang
;
Xia, Zhongsheng
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2014/12/07
Forestry
Backscattering
Data processing
Geographic information systems
Image processing
Parameter estimation
Pattern recognition
Polarization
Remote sensing
Synthetic apertures
New ortho-rectification method using two-looking direction RADARSAT-2 imageries
会议论文
OAI收割
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, October 30, 2009 - November 1,2009
Wan, Zi
;
Xu, Maosong
;
Xia, Zhongsheng
;
Zhang, Fengli
;
Li, Kun
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2014/12/07
Radiometry
Calibration
Data processing
Geographic information systems
Image processing
Imaging systems
Landforms
Pattern recognition
Remote sensing
Synthetic aperture radar
Synthetic apertures
A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE)
会议论文
OAI收割
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China
Zhao X.
;
Fu D.
;
Zhai L.
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2013/03/25
Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures
typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First
decompose and reconstruct the image by wavelet packet. Before constructing the image
use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second
probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects
to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented
showing the quality of the proposed method. 2008 IEEE.
Analysis of man-made target detection in SAR imagery
会议论文
OAI收割
Envisat Symposium 2007, Montreux, Switzerland, April 23, 2007 - April 27,2007
Wang, Changlin
;
Zhong, Xuelian
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2014/12/07
Synthetic aperture radar
Algorithms
Automatic target recognition
Computation theory
Data processing
Image acquisition
Target tracking
Comparison of pixel-based fusion between multi-spectral data and high spatial resolution data
会议论文
OAI收割
Image Processing and Pattern Recognition in Remote Sensing II, Honolulu, HI, United states, November 8, 2004 - November 9,2004
Zhao, Shuhe
;
Wang, Ziyu
;
Dong, Xieqiong
;
Chen, Xiuwan
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2014/12/07
Remote sensing
Image analysis
Maximum likelihood estimation
Principal component analysis
Sensor data fusion
Synthetic aperture radar
Wavelet transforms