逆时偏移成像与SPIHT 的应用

doi:10.3969/j.issn.0255-8297.2014.03.008

Abstract

Abstract: Reverse time migration (RTM) is a precise migration methods based on the full-wave equation,however, RTM takes too much computing time. This paper aims to save the computing time by analyzing the RTM and applying set partitioning in hierarchical tree (SPIHT) based on integer wavelet transform (IWT)
of LS to save memory consumption, thus reducing computing time. The Marmousi model is used in the RTM-SPHIT method. The migration results show that the method can solve the problem of computing time consumption with good imaging accuracy.

Key words: reverse time migration (RTM), computer time, integer wavelet transform (IWT), set partitioning in hierarchical tree (SPIHT), Marmousi model

CLC Number:

TP391

ZHANG Xiao-dan1, ZHANG Zhi-yu2, XU Jin1, ZHU Yao-lin1. Reverse Time Migration Imaging and SPIHT[J]. Journal of Applied Sciences, 2014, 32(3): 274-280.

References

[1] XIDONG J, REYNOLDS R G. Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problem:a cultural algorithm approach[C]. IEEE Congress on Evolutionary Computation, 1999: 1672-1678.

[2] 吴亚丽, 徐丽青. 一种基于粒子群算法的改进多目标文化算法[J]. 控制与决策, 2012, 8: 1127- 1132.

WU Yali, XU Liqing. An improved multi-objective cultural algorithm based on particle swarm optimization[J]. Control and Decision, 2012, 8: 1127-1132.（in Chinese）

[3] 黄海燕, 顾幸生, 刘漫丹. 求解约束优化问题的文化算法研究[J]. 自动化学报, 2007, 10: 1115-1120.

HUANG Haiyan, GU Xingsheng, LIU Mandan. Research on Cultural Algorithm for Solving Nonlinear Constrained Optimization[J]. Acta Automatica Sinica, 2007, 10: 1115-1120. （in Chinese）

[4] MOLINA D, LOZANO M, SANCHEZ A M, HERRERA F. Memetic algorithms based on local search chains for large scale continuous optimization problems: MA-SSW-Chains[J]. Soft Computing, 2011, 15(11): 2201-2220.

[5] ALI M, REYNOLDS R. The emergence of cultural hierarchical social networks in complex environments[J]. Artificial Intelligence:Methodology, Systems and Applications, 2012: 69-78.

[6] 柴玉梅, 陈阳, 苏金, 明奇. 基于人工鱼的全局优化文化算法[J]. 郑州大学学报(工学版), 2010, 31(5): 106-110.

CHAI Yumei, CHEN Yang, SU Jin, MING Qi. Cultural Algorithm based on Artificial Fish for Global Optimization[J]. Journal of Zhengzhou University (engineering science), 2010, 31(5): 106-110. （in Chinese）

[7] RAEESI M N, KOBTI Z. A multiagent system to solve JSSP using a multi-population cultural algorithm[C]. Advances in Artificial Intelligence, 2012: 362-367.

[8] OCHOA A, GARCIA Y, YANEZ J, TEYMANOGLU Y. Using cultural algorithms to improve intelligent logistics[C]. Hybrid Artificial Intelligence Systems, 2010: 127-134.

[9] CHANJIN C. Knowledge-based approaches to self- adaptation in cultural algorithms[D]. Detroit, Miehigan:Waynestate University, 1997.

[10] SALEEM S M. Knowledge-based solution to dynamic optimization problems using cultural algorithms[D]. USA:Wayne State University, 2001.

[11] 陈思华, 陶长琪. 一种新的文化算法框架下知识融合策略[J]. 小型微型计算机系统, 2009, 30(10): 2030-2033.

CHEN Sihua, TAO Changqi. New Knowledge Integration Strategy Based on Culture Algorithm Framework[J]. Journal of Chinese Computer Systems, 2009, 30(10): 2030-2033. （in Chinese）

[12] BEEERRA R L, COELLO C A. Optimization with constraints using a cultured differential evolution approach[C]. Proceedings of the 2005 conference on Genetic and evolutionary computation, 2005: 27-34.

[13] ROBERT G, REYNOLDS R, PENG B, ALOMARI R S. Cultural evolution of ensemble learning for problem solving[A]. IEEE Congress on Evolutionary Computation[C]. 2006: 1119-1126.

[14] 艾景波. 文化粒子群优化算法及其在布局设计中的应用研究[D]. 大连理工大学硕士学位论文, 2005.

AI Jingbo. Cultural based particle swarm optimization to layout design[D]. Master's degree thesis of Dalian University of Technology, 2005. （in Chinese）

[15] 陈昊, 黎明, 陈曦. 处理动态优化问题的捕食元胞遗传算法[J]. 控制与决策, 2012, 06:827 -832.

CHEN Hao, LI Ming, CHEN Xi. Predator-prey cellular genetic algorithm for solving dynamic optimization problems[J]. Control and Decision, 2012, 06: 827-832. （in Chinese）

[16] 鲁宇明, 黎明, 李凌, 杨红雨. 基于个体差异移民的改进元胞遗传算法[J]. 系统工程与电子技术, 2011, 03: 690-693.

LU Yuming, LI Ming, LI Ling, YANG Hongyu. Improved cellular genetic algorithm based on migration of different individuals[J]. Systems Engineering and Electronics, 2011, 03: 690-693. （in Chinese）

[17] 陈昊, 黎明, 江泽涛, 储珺. 处理动态优化问题的演化元胞遗传算法[J]. 系统工程与电子技术, 2013, 35(5): 1115-1121.

CHEN Hao, LI Ming, JIANG Zetao, CHU Jun. Evolution cellular genetic algorithm for solving dynamic optimization problem[J]. Systems Engineering and Electronics, 2013, 35(5): 1115-1121. （in Chinese）

[18] 拓守恒, 陶维天. 一种求解高维多模态复杂问题的差分文化算法[J]. 计算机工程与科学, 2013, 01: 142-148.

TUO Shouheng, TAO Weitian. A novel differential evolution based cultural algorithm for solving high-dimensional multimodal optimization problems[J]. Computer Engineering and Science, 2013, 01: 142-148. （in Chinese）

[19] 周小文, 蒋泽军. 基于文化差分算法的无约束优化问题研究[J]. 计算机与现代化, 2013, 02: 48-51.

ZHOU Xiaowen, JIANG Zejun. Research on Solving Unconstrained Optimization Based on Cultural-Differential Algorithm[J]. Computer and Modernization, 2013, 02: 48-51. （in Chinese）

[20] 鲁宇明, 黎明, 李凌. 一种具有演化规则的元胞遗传算法[J]. 电子学报, 2010, 07:1603-1607.

LU Yuming, LI Ming, LI Ling. The Cellular Genetic Algorithm with Evolutionary Rule[J]. Acta Electronica Sinica, 2010, 38(7): 1603-1607. (in Chinese)

[21] 李军华, 黎明. 噪声环境下多模态函数优化的遗传算法[J]. 电子学报, 2012, 02:327-330.

LI Junhua, LI Ming. Genetic algorithm for multi-modal function optimization in noisy environments[J]. Acta Electronica Sinica, 2012, 02: 327-330. (in Chinese)

Reverse Time Migration Imaging and SPIHT

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	FANG Qiao-yun, LÜ Dong-hui, SUN Jiu-ai. Improved Triangle Mesh Method for Surface Reconstruction from Normal Field [J]. Journal of Applied Sciences, 2016, 34(2): 145-153.
[2]	CHEN Zhu-yi, FANG Zhen. Detection of Digital Image Forgery Based on Chromatic Aberration [J]. Journal of Applied Sciences, 2015, 33(6): 604-614.
[3]	JI Ping, QIN Chuan. Image Tampering Recovery Based on Multi-codebook Vector Quantization [J]. Journal of Applied Sciences, 2015, 33(6): 615-627.
[4]	TANG Zhen-hua, LIANG Cong, OU Cheng, HUANG Xu-fang, QIN Tuan-fa. Multi-focus Image Fusion Based on Texture Features in DCT Domain [J]. Journal of Applied Sciences, 2015, 33(6): 628-636.
[5]	WANG Long1,2, YANG Jun-an1,2, CHEN Lei1,2, LIN Wei3, LIU Hui1,2. Parallel Optimization of Chinese Language Model Based on Recurrent Neural Network [J]. Journal of Applied Sciences, 2015, 33(3): 253-261.
[6]	YAO Li-tao, DONG Yu-ning. Unsupervised Feature Analysis and Classification of Video Streams [J]. Journal of Applied Sciences, 2015, 33(2): 117-128.
[7]	ZHANG Min1,2, Lü Quan-tong1,2, ZHU Yu-xuan3. Blind Recognition of Self-Synchronized Scrambler Based on Linear Block Code [J]. Journal of Applied Sciences, 2015, 33(2): 178-186.
[8]	ZHANG Xiao-lin, FANG Zhen, ZHANG Xin-peng. Forgery Detection via Inter-channel Correlation of CFA Images [J]. Journal of Applied Sciences, 2015, 33(1): 87-94.
[9]	WANG Gui-jin1, LIU Bo1, HE Bei1, ZHANG Shu-jun2, MENG Long2. Real-Time PET Cap Defect Inspection Based on Symmetry Match [J]. Journal of Applied Sciences, 2014, 32(6): 617-624.
[10]	WANG Rui1,2, XIAO Ren1,2, CHEN Jun-li1,2, YU Zong-xin1,2, WAN Wang-gen1,2. 3D Point Cloud Deformation with Moving Least Squares and Control Curves [J]. Journal of Applied Sciences, 2014, 32(5): 463-468.
[11]	FENG Xiang1,2, WAN Wang-gen1,2. Sparse Representation and Reconstruction of Image Based on Compressed Sensing [J]. Journal of Applied Sciences, 2014, 32(5): 447-452.
[12]	ZHANG Bai-rui, ZHONG Qing-hua, XUE Xiu-ting. Robust Algorithm for Fast Warning of Lane Departure [J]. Journal of Applied Sciences, 2014, 32(5): 530-536.
[13]	XIE Kai, ZHANG Tao, XI Ling, LI Wen-xiang, PING Xi-jian. Steganalysis of Heterogeneous Images Using k-Means Clustering [J]. Journal of Applied Sciences, 2014, 32(5): 543-550.
[14]	YAN Xiao-meng, ZHANG Tao, LI Wen-xiang, PING Xi-jian. Locating Steganographic Payload by Combining WS Residuals and MAP Cover Estimator [J]. Journal of Applied Sciences, 2014, 32(4): 401-408.
[15]	ZHENG Yong-jun, ZHANG Lian-hai. Keyword Detection Based on Dynamic Match Lattice Spotting [J]. Journal of Applied Sciences, 2014, 32(2): 149-155.