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基于光谱范围的IHS改进融合方法研究
  • ISSN号:1003-4978
  • 期刊名称:《河南大学学报:自然科学版》
  • 时间:0
  • 分类:TP311[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]河南大学空间信息处理实验室,河南开封475004, [2]河南大学计算机与信息工程学院,河南开封475004
  • 相关基金:国家自然科学基金项目(61305042,61202098);河南省教育厅科学技术研究重点项目(13A520071)
中文摘要:

在遥感图像处理算法研究过程中,集成和利用已有算法代码往往存在技术瓶颈,算法的研制也缺乏统一的验证平台.文章对遥感图像处理算法的特性和软件构件技术进行分析和研究,提出一种面向SAR图像处理和展示的多语言构件模型RSIC.基于多语言构件模型,设计了一种并行化的SAR图像处理与展示架构和工作流组装方案.在SAR图像处理与展示平台的实际研发实践中,该方法可适应多语言编程环境,综合利用多种工具包,继承和复用现有算法代码.并能有效减轻编程工作量,提升遥感图像处理相关算法研究进度.

英文摘要:

In new algorithm research and software engineering application of remote sensing image processing, development of core algorithms often lacks the unified evaluation and verification platform, and integration and utilization of the existing algorithm code also have a lot of technical bottlenecks, which seriously restrict the research and application of the remote sensing products. According to the characteristics of remote sensing image processing algorithms, and analysis and research on software component technology, the remote sensing image component (RSIC) model of multi-programming language was proposed for synthetic aperture radar (SAR) image processing and presentation in this thesis. We described the component model of remote sensing image such as I/O, preprocessing, post-processing, visualization and parallel processing by the extended Backus-naur form (EBNF). Then, the SAR images processing and presentation architecture were designed by hybrid heterogeneous parallel based on Hadoop+ OpenMP+CUDA, and the workflow assembly program of remote sensing image processing and presentation were proposed by XML workflow definition language (XWFDL). In the platform of algorithm research and engineering practice for SAR image processing and presentation, this method can be effectively integrated the multi-programming such as C # , C+ +, Java and Matlab and other languages. It can inherit and reuse the existing algorithm code components, and comprehensive utilization of typical remote sensing software development tool kit. The researchers can focus on the improvement and innovation of the remote sensing image processing algorithms, which can effectively reduce the programming workload, and significantly improve the application development of remote sensing image processing software.

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期刊信息
  • 《河南大学学报:自然科学版》
  • 中国科技核心期刊
  • 主管单位:河南省教育厅
  • 主办单位:河南大学
  • 主编:乔家君
  • 地址:河南省开封市明伦街85号
  • 邮编:475001
  • 邮箱:xbzrb@henu.edu.cn
  • 电话:0378-2860394
  • 国际标准刊号:ISSN:1003-4978
  • 国内统一刊号:ISSN:41-1100/N
  • 邮发代号:36-27
  • 获奖情况:
  • 河南省优秀科技期刊一等奖,河南省高校优秀自然科学学报,全国学术期刊规范执行优秀奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),德国数学文摘,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版)
  • 被引量:5635