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Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification 期刊论文
Remote Sensing, 2018, 卷号: Vol.10 No.5, 页码: 663
作者:  Xingen Zhou;  Huaibo Song;  Chenghai Yang;  Xiaoyang Zhao;  Dongyan Zhang
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/22
Entropy-based window selection for detecting dim and small infrared targets 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 页码: 66-77
作者:  Deng, He;  Sun, Xianping;  Liu, Maili;  Ye, Chaohui;  Zhou, Xin
收藏  |  浏览/下载：37/0  |  提交时间：2016/12/12
Selection of optimal window length using STFT for quantitative SNR analysis of LFM signal 期刊论文
系统工程与电子技术（英文版）, 2013, 卷号: No.1
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收藏  |  浏览/下载：4/0  |  提交时间：2019/02/27
Fluorescence spectroscopic determination of triglyceride in human serum with window genetic algorithm partial least squares 期刊论文
2012
Kong, Xiangzhen; Zhu, Weihua; Zhao, Zhimin; Li, Xiangyan; Wang, Hui; Chen, Ran; Chen, Chuchu; Zhu, Feng; Guo, Xiaoying
收藏  |  浏览/下载：4/0  |  提交时间：2015/11/10
Multi-focus Image Fusion Using M-Band Wavelet Transformation 期刊论文
ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 3, 2011, 卷号: Vol.106, 页码: 139
作者:  Lai, SY;  Liu, Y
收藏  |  浏览/下载：2/0  |  提交时间：2019/02/28
基于解均匀度的车辆路径问题的自适应蚁群算法 期刊论文
2010, 2010
刘志硕; 申金升; LIU Zhi-shuo; SHEN Jin-sheng
收藏  |  浏览/下载：4/0
Fast inductance and resistance extraction of 3-D VLSI interconnects based on the method of K element 期刊论文
2010, 2010
Wei Hong-chuan; Yu Wen-jian; Yang Liu; Wang Ze-yi
收藏  |  浏览/下载：4/0
An adaptive ant colony algorithm for vehicle routing problem based on the evenness of solution 期刊论文
2010, 2010
Liu Zhi-shuo; Shen Jin-sheng
收藏  |  浏览/下载：6/0
The proof of the stability of circuit simulation based on the K method 期刊论文
2010, 2010
Zeng Shan; Yu Wenjian; Du Yu; Hong Xianlong; Wang Zeyi
收藏  |  浏览/下载：1/0
Optimization on motion estimation algorithm based on H. 264 (EI CONFERENCE) 会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Wen X.; Li G.
收藏  |  浏览/下载：55/0  |  提交时间：2013/03/25
Motion estimation is a very important part of video compression. As a result of using precision of motion vector in H.264 encoder  the computational cost increases rapidly  and motion estimation is the most time-consuming stage. In this paper  based on the UMHexagonS algorithm  an optimized algorithm is proposed based on the dynamic search window selection  big hexagon and small hexagon search mode respectively  which saves motion estimation time effectively with a little quality loss. Experiments with some typical video sequences show that compared to the original UMHexagonS algorithm  this new algorithm can save about 17.851 % motion estimation time and reduce the complexity of original scheme as well as enhance the real time performance of encoder and almost has no changes in the reconstructed picture quality and bitrates. 2010 IEEE.  

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