中国科学院机构知识库网格系统: 检索

Filtered Convolution for Synthetic Aperture Radar Images Ship Detection 期刊论文 OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 20, 页码: 19
作者: Zhang, Luyang; Wang, Haitao; Wang, Lingfeng; Pan, Chunhong; Huo, Chunlei

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收藏 | 浏览/下载：44/0 | 提交时间：2022/11/21

synthetic aperture radar (SAR) remote sensing image ship detection filter convolution coherent speckle noise local weight

An efficient local search algorithm for solving maximum edge weight clique problem in large graphs 期刊论文 OAI收割
JOURNAL OF COMBINATORIAL OPTIMIZATION, 2020, 页码: 22
作者: Chu, Yi; Liu, Boxiao; Cai, Shaowei; Luo, Chuan; You, Haihang

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收藏 | 浏览/下载：34/0 | 提交时间：2020/12/10

Graph reduction Maximum edge weight clique problem Stochastic local search

DMPSO: Diversity-Guided Multi-Mutation Particle Swarm Optimizer 期刊论文 OAI收割
IEEE ACCESS, 2019, 卷号: 7, 页码: 124008-124025
作者: Tian, Dongping; Zhao, Xiaofei; Shi, Zhongzhi

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收藏 | 浏览/下载：54/0 | 提交时间：2019/12/10

Particle swarm optimization opposition-based learning swarm diversity inertial weight premature convergence local optima mutation strategy

Exposure Fusion Using Boosting Laplacian Pyramid 期刊论文 OAI收割
ieee transactions on cybernetics, 2014, 卷号: 44, 期号: 9, 页码: 1579-1590
作者: Shen, Jianbing; Zhao, Ying; Yan, Shuicheng; Li, Xuelong

收藏 | 浏览/下载：38/0 | 提交时间：2015/03/18

Boosting Laplacian pyramid exposure fusion global and local exposure weight gradient vector

Classification of hyperspectral image based on SVM optimized by a new particle swarm optimization (EI CONFERENCE) 会议论文 OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者: Gao X.; Yu P.; Yu P.

收藏 | 浏览/下载：22/0 | 提交时间：2013/03/25

Support Vector Machine (SVM) is used to classify hyperspectral remote sensing image in this paper. Radial Basis Function (RBF) which is most widely used is chosen as the kernel function of SVM. Selection of kernel function parameter is a pivotal factor which influences the performance of SVM. For this reason Particle Swarm Optimization (PSO) is provided to get a better result. In order to improve the optimization efficiency of kernel function parameter firstly larger steps of grid search method is used to find the appropriate rang of parameter. Since the PSO tends to be trapped into local optimal solutions a weight and mutation particle swam optimization algorithm was proposed in which the weight dynamically changes with a liner rule and the global best particle mutates per iteration to optimize the parameters of RBF-SVM. At last a 220-bands hyperspectral remote sensing image of AVIRIS is taken as an experiment which demonstrates that the method this paper proposed is an effective way to search the SVM parameters and is available in improving the performance of SVM classifiers. 2012 IEEE.

Precise motion compensation based on weighted sub-pixel image matching (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Liang H. G.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

This paper proposed a sub-pixel image correlation algorithm that can get more Precise result its principle is apply the distribute of relativity peak to get weighted multi-pixel comprehensive of location. Image correlation be as to calculates the greyscale relativity of image template and matching image the relativity of correspond location where match best with template will be most high and in its neighbour range the relativity will be still keep high too. We used these pixel in this local area of calculated match point to get sub-pixel accuracy the relativity of every pixel be used as its weight for participate the sub-pixel calculation. The sub-pixel location is more accuracy than the integer one we applied this method to perform background compensation in processing the target detecting for video image sequence. At the end of this paper some experiment data be proposed it proved this sub-pixel image correlation can obtain better result. 2011 SPIE.

Optimal multiresolution dynamic models generation based on triangle importance (EI CONFERENCE) 会议论文 OAI收割
2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China
作者: Zhao J.; Zhang S.

收藏 | 浏览/下载：20/0 | 提交时间：2013/03/25

In this paper we propose an efficient method to generate optimal multiresolution dynamic models. By the method we define the triangle importance degree as a weight parameter to be embedded to the edge contraction cost so the new metric can not only measure distance error but also reflect geometric variation of local areas. A deformation degree weight is appended to the aggregated edge contraction cost for the whole animation thus sharp features on areas with large deformation can be preserved. In addition a process of mesh optimization and validity check can further alleviate the geometric distortion of the approximations. Our approach is efficient in operation easy for implementation and as a result high quality of dynamic approximations with well-preserved fine details can be generated at any given frame. 2010 IEEE.

A local feature based simplification method for animated mesh sequence (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010, April 16, 2010 - April 18, 2010, Chengdu, China
作者: Wang B.; Wang B.; Zhao J.; Zhang S.

收藏 | 浏览/下载：23/0 | 提交时间：2013/03/25

Although animated meshes are frequently used in numerous domains only few works have been proposed until now for simplifying such data. In this paper we propose a new method for generating progressive animated models based on local feature analysis and deformation area preservation. We propose the use of solid angle and height value for a non-hyperbolic vertex to define the local feature parameter. This local factor is embedded to the vertex quadric error matrix when calculating the edge collapse cost. In order to preserve the areas with large deformation we add deformation degree weight to the aggregated quadric errors when computing the unified edge contraction sequence. Finally a mesh optimization process is proposed to further reduce the geometric distortion for each frame. Our approach is fast easy to implement and as a result good quality dynamic approximations with well-preserved fine details can be generated at any given frame. 2010 IEEE.

A new algorithm to approximate deforming models based on torsion detection (EI CONFERENCE) 会议论文 OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者: Zhang S.; Wang G.

收藏 | 浏览/下载：26/0 | 提交时间：2013/03/25

In this paper we propose a new method to approximate deforming models based on torsion detection. We propose the use of surface torsion to represent local features on the original model and consider it as an additional weight factor when calculating the edge contraction cost during the simplification process. The approximations of the original deforming models are generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame the contraction order in the current frame is adjusted according to the deformation degree. Our approach is fast easy to implement and as a result good quality approximations with well-preserved fine details can be generated at any given frame. 2010 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.