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遥感技术与应用  2010, Vol. 25 Issue (4): 502-509    DOI: 10.11873/j.issn.1004-0323.2010.4.502
研究与应用     
基于ENVI/IDL的多源遥感数据覆盖范围快速查询技术及实现

苗立新1,2,李 霞2,周连芳3,文 强2,纪中奎2,熊志明2,靳光明2,胡琳2
1.中国林业科学研究院资源信息研究所,北京 100091;
2.二十一世纪空间技术应用股份有限公司,北京 100096;3.中国土地勘测规划院,北京 100035
Fast Approach for Querying Coverage of Multi-source RS Data and Its Realization Based on ENVI/DL1
MIAO Li-xin1,2,LI Xia2,ZHOU Lian-fang3,WEN Qiang2,JI Zhong-kui2,XIONG Zhi-ming2,JIN Guang-ming2,HU Lin-hua2
.Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China;2.Twenty First Century Aerospace Technology Co.,Ltd.Beijing 100096,China;3.China Land Surveying & Planning Institute,Beijing 100035,China
 全文: PDF(2776 KB)  
摘要:

针对大范围遥感应用,前期工作是查询某数据源的覆盖范围以及被云雪覆盖区域或未覆盖区域是否有同尺度的数据源替代,由于各种卫星数据的查询系统一般是相互独立的,使得工作繁琐费时。介绍了在ENVI/IDL软件环境支持下,多源遥感数据覆盖范围快速查询技术及其实现。首先,根据元数据获取影像快视图4个角点的经纬度坐标,并生成矢量落图文件;然后,通过算法检测出影像快视图有效范围4个角点的像元坐标;最后,对相同数据源的一批快视图进行自动几何校正,生成带有经纬度坐标信息的GeoTiff格式图像,从而使得各种数据源的快视图都可以在GIS软件中与行政界线一起叠加显示。由于可以对大量数据进行批处理,并且在设置好初始元数据格式后,不需要任何人工干预,极大地提高了多源数据覆盖情况的查询效率,从而可以快速、准确地判断有效数据的覆盖范围是否满足应用需求。因此,该方法具有很大的实用性和推广价值。

关键词: 遥感数据覆盖查询快视图落图文件    
Abstract:

A preliminary work for remote sensing applications on large region is to query the coverage of certain remote sensing data and to know whether there are substitutes with similar scales for regions covered by clouds or snows,or for regions not covered by this kind of data.Generally speaking,the querying systems of all kinds of satellite data are independent,which makes the querying for coverage of multi\|source remote sensing (RS) tiring and time consuming.To fast query the coverage of RS data on large regions,a batch processing approach is proposed and a tool is developed based on ENVI/IDL.Firstly,the metadata are read from the text file.Secondly,the outline vector is generated with desired attributes.Thirdly,the four corners of the valid range of image data are detected.Finally,the preview picture is registered automatically.The georeferenced images and the outline vectors can be overlaid correctly with the vector of administrative boundaries according to their geographic coordinates.After proper metadata format selected and the input directory and the output directory input,the software begins to run in the batch mode without any interactive.It will finish the task very soon.This approach can greatly improve the query efficiency of multi\|source RS image coverage.Then decision can be made according to whether the valid coverage can meet the demand of the application.Thus the approach mentioned above and the software developed according to it are very practical and worthy of popularization.

Key words: RS data    Coverage    Query    Preview    Outline vector
出版日期: 2010-10-21
基金资助:

科技部国家科技支撑计划“环北京区域遥感综合监测信息服务系统(2007BAH15B03)”;国土资源部公益性行业科研专项“基于国产卫星的土地宏观监测应用实验研究(200811086)”。

作者简介: 苗立新(1975-),博士,工程师,从事遥感技术在农林、国土、生态环境等方面的应用研究。E-mail:miaolx@21stc.com.cn。
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引用本文:

苗立新, 李 霞, 周连芳, 文 强, 纪中奎, 熊志明, 靳光明, 胡 琳. 基于ENVI/IDL的多源遥感数据覆盖范围快速查询技术及实现[J]. 遥感技术与应用, 2010, 25(4): 502-509.

MIAO Li-xin, LI Xia, ZHOU Lian-fang, WEN Qiang, JI Zhong-kui, XIONG Zhi-ming, JIN Guang-ming, HU Lin. Fast Approach for Querying Coverage of Multi-source RS Data and Its Realization Based on ENVI/DL1. Remote Sensing Technology and Application, 2010, 25(4): 502-509.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.4.502        http://www.rsta.ac.cn/CN/Y2010/V25/I4/502

[1]Li Xuan,Wang Fenghua.The Browse and Query Technology for Remote Sensing Satellite Data[J].Journal of Astronautics,2006,27(3):562-564.[李璇,王风华.卫星遥感数据的浏览查询技术[J].宇航学报,2006,27(3):562-564.]
[2]Li Ying,Wang Fenghua,Fan Shiming.Research of the Browse and Query Technology for Remote Sensing Satellite[J].Spacecraft Engineering,2008,17(1):100-104.[李莹,王风华,范士明.卫星遥感数据浏览查询技术的研究[J].航天器工程,2008,17(1):100-104.]
[3]Li Ying,Wang Fenghua.Query Technology Optimization and Realization of Satellite Data Information[J].Remote Sensing Information,2009,(2):64-66.[李莹,王风华.遥感卫星图像数据信息浏览查询技术优化与实现[J].遥感信息,2009,(2):64-66.]
[4]Liu Xiaolong,Li Yingcheng.The Development and Application of Remote Sensing Data Order and Management Software System[J].Science of Surveying and Mapping,2006,31(4):120-122.[刘晓龙,李英成.遥感数据订购与管理软件的开发与应用[J].测绘科学,2006,31(4):120-122.]
[5]ITT Visual Information Solutions.Getting Started with ENVI[M/OL].Colorado:ITT Visual Information Solutions,2009:10-11.[2010-04-12].http://www.ittvis.com/portals/0/pdfs/envi/Getting_Started_with_ENVI.pdf.
[6]ITT Visual Information Solutions.ENVI Programmers Guide[S/OL].Colorado:ITT Visual Information Solutions,2009:34-44.[2010-04-12].http://www.ittvis.com/portals/0/pdfs/envi/Programmers_Guide.pdf.
[7]ITT Visual Information Solutions.ENVI Reference Guide[S/OL].Colorado:ITT Visual Information Solutions,2009:335-339.[2010-04-12]http://www.ittvis.com/portals/0/pdfs/envi/Reference_Guide.pdf.
[8]ITT Visual Information Solutions.IDL Reference Guide[S/OL].Colorado:ITT Visual Information Solutions,2009:3501-3540.[2010-04-12].http://www.ittvis.com/portals/0/pdfs/idl/refguide.pdf.
[9]China Centre for Resources Satellite Data and Application.Introduction to HJ-1-A and HJ-1-B Satellites[EB/OL].(2009-05-08) [2010-04-29 ].[中国资源卫星应用中心.HJ-1-A、B卫星介绍[EB/OL].(2009-05-08) [2010-04-29 ].]http://www.cresda.com/n16/n1130/n1582/8384.html.

 

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