中国科学院机构知识库网格系统: 检索

Hierarchical Bayesian Model Based on Robust Fixed Rank Filter for Fusing MODIS SST and AMSR-E SST 期刊论文 OAI收割
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2019, 卷号: 85, 期号: 2, 页码: 119-131
作者: Zhu, Yuxin; Kang, Emily Lei; Bo, Yanchen; Zhang, Jinzong; Wang, Yuexiang

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收藏 | 浏览/下载：108/0 | 提交时间：2019/05/23

Hierarchical Bayesian Model based on R-FRF MODIS SST AMSR-E SST scale transformation local variance

Hierarchical Bayesian Model Based on Robust Fixed Rank Filter for Fusing MODIS SST and AMSR-E SST 期刊论文 OAI收割
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2019, 卷号: 85, 期号: 2, 页码: 119-131
作者: Zhu, Yuxin; Kang, Emily Lei; Bo, Yanchen; Zhang, Jinzong; Wang, Yuexiang

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收藏 | 浏览/下载：21/0 | 提交时间：2019/05/23

Hierarchical Bayesian Model based on R-FRF MODIS SST AMSR-E SST scale transformation local variance

Hierarchical Bayesian Model Based on Robust Fixed Rank Filter for Fusing MODIS SST and AMSR-E SST 期刊论文 OAI收割
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2019, 卷号: 85, 期号: 2, 页码: 119-131
作者: Zhu, Yuxin; Kang, Emily Lei; Bo, Yanchen; Zhang, Jinzong; Wang, Yuexiang

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收藏 | 浏览/下载：19/0 | 提交时间：2019/05/23

Hierarchical Bayesian Model based on R-FRF MODIS SST AMSR-E SST scale transformation local variance

Cloud detection from visual band of satellite image based on variance of fractal dimension 期刊论文 OAI收割
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2019, 卷号: 30, 期号: 3, 页码: 485
作者: Tian Pingfang; Guang Qiang; Liu Xing

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收藏 | 浏览/下载：1/0 | 提交时间：2023/12/04

cloud detection visual image satellite image variance of local fractal dimension (VLFD)

Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE PSNR and SSIM. 2012 Springer-Verlag London Limited.

Local variance based color image quality assessment method (EI CONFERENCE) 会议论文 OAI收割
2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

In this paper local variance is used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is enhanced by using local variance distribution. It encodes the local variance distribution of different channels of a color image into the three imaginary parts of a quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods.

Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

A new approach to assess the performance of color image fusion algorithms is proposed. The color information is fully used by this method. Quaternions are used to encode the pixels in a color image into a quaternion matrix. Local variance of the luminance layer of the color image is taken as the real part of a quaternion then the three RGB channels of the color image are encoded into the three imaginary parts of a quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to one of the source image and the fused image is used to measure their structural similarity. Edge information transferring is used to balance the sensitivity of the assessment methods. Experimental results show that the proposed assessment method is better consistent with the HVS than some of the state-of-the-art method. Accurate assessment results can be given by the proposed method for various of color image fusion algorithms by using the source images and the fused image. 2010 IEEE.

Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE) 会议论文 OAI收割
2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China
Yuqing W.; Ming Z.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

In this paper Quaternions are used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is reinforced by using local variance. It encodes the local variance distribution of the RGB channels of a color image into the three imaginary parts of a quaternion. The luminance layer of the color image is taken as the real part of the quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The final assessment result is calculated by using the mid point of the distances. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods. 2009 IEEE.

Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE) 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, October 30, 2009 - November 1, 2009, Yichang, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

In this paper a new approach to objectively assess the performance of image fusion algorithms is proposed. It is based on the quaternion representation for the structural information of color images. Quaternions are used to encode the pixels of a color image into a quaternion matrix. Local variance of the luminance layer of color image is taken as the real part of a quaternion then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to the source image and the fused image is used to measure the structural similarity of them. Different weight is given to the source images by using variance. The experiment results show that the proposed assessment method is consistent with the HVS. The color information of a color image can be fully used by this method. It can give an accurate assessment result for each fusion algorithm by using the source images and the fused image. 2009 Copyright SPIE - The International Society for Optical Engineering.

Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility 期刊论文 OAI收割
JOURNAL OF ECONOMETRICS, 2008, 卷号: 143, 期号: 2, 页码: 227-262
作者: Chen, Gongmeng; Choi, Yoon K.; Zhou, Yong

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收藏 | 浏览/下载：16/0 | 提交时间：2018/07/30

nonparametric regression wavelet coefficient change points kernel estimation local polynomial smoother conditional heteroscedastic variance alpha-mixing