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计算机工程 ›› 2012, Vol. 38 ›› Issue (23): 15-18,23. doi: 10.3969/j.issn.1000-3428.2012.23.004

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基于GDAL的遥感图像浏览关键技术研究

赵 岩1,2,王思远1,毕海芸1,2,王 辉1,2,殷 慧1,2   

  1. (1. 中国科学院对地观测与数字地球科学中心,北京 100094;2. 中国科学院研究生院,北京 100049)
  • 收稿日期:2012-03-19 出版日期:2012-12-05 发布日期:2012-12-03
  • 作者简介:赵 岩(1985-),男,硕士研究生,主研方向:遥感技术,GIS应用;王思远,研究员、博士;毕海芸、王 辉、殷 慧,硕士研究生
  • 基金资助:

    国家“973”计划基金资助项目“空天地一体化对地观测传感网的理论与方法”(2011CB707100);国家重大科学装置基金资助项目“面向科学目标的应用支撑系统”

Research on Key Technology of Remote Sensing Images Browse Based on GDAL

ZHAO Yan 1,2, WANG Si-yuan 1, BI Hai-yun 1,2, WANG Hui 1,2, YIN Hui 1,2   

  1. (1. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China)
  • Received:2012-03-19 Online:2012-12-05 Published:2012-12-03

摘要:

遥感图像空间尺寸较大、浏览时占用系统资源过多。为实现任意次撤销重做,解决软件支持文件格式较少、数据类型单一等问题,提出一种选择性建立与多线程更新高速缓存的机制。将路径层技术应用于图像显示过程,采用结构体数组与栈对象相结合的方法,并基于地理空间数据抽象库(GDAL)完成软件系统的研发。测试结果表明,该系统表现出较好的稳定性和鲁棒性,尤其是对空间尺寸较大的文件进行RGB模式显示时,缩放与漫游功能操作灵活、响应时间短,能满足工程要求与实际需要。

关键词: 遥感图像, 撤销重做, 文件格式和数据类型, 高速缓存, 路径层, 地理空间数据抽象库

Abstract:

Remote sensing images have large spatial sizes, and large amount of system resources are occupied during browsing. To deal with these issues, so that arbitrary times of undo and redo operations can be done, and solve problems, such as the system supported less file formats or data types and the high complexity in the conversion of file formats and data types, this paper puts forward a mechanism which selectively builds and updates the cache with multiple threads and uses the path bracket method on image display. The method of combining structure array with stack objects is adopted, and the software system development is based on Geospatial Data Abstraction Library(GDAL). Test results show that the system has good stability and robustness, especially when displaying files with larger spatial sizes in RGB mode, zooming and roaming operate flexibly and respond quickly, which meet the engineering requirements and actual needs.

Key words: remote sensing image, undo and redo, file format and data type, cache, path bracket, Geospatial Data Abstraction Library(GDAL)

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