期刊文献+

快鸟数据在光学遥感器成像仿真中的应用 被引量:2

Application of High Resolution Quickbird Satellite Data in Imaging Simulation of Optical Remote Sensor
下载PDF
导出
摘要 针对早期光学遥感成像模拟软件基于地面图像或机载航空图像的情况,提出针对高分辨率快鸟图像进行航天光学遥感器成像仿真的方法。基于高分辨率快鸟图像,采用ISODATA法进行非监督分类,得到土地分类专题图,通过地物光谱数据库进行反射率转换,从而获得地面反射率图像;利用大气辐射传输软件MODTRAN对其进行大气修正,结合卫星遥感器辐射定标系数,最终得到卫星遥感器输出图像。通过系统仿真结果表明,利用快鸟进行光学遥感器成像仿真为伪装效果检验提供一种有效的手段。 Due to the situation of the early optical remote sensing imaging simulation software based on ground images or airborne aviation images, a novel method of imaging simulation of spaceborne optical remote sensor based on high resolution Quickbird satellite data was proposed. Thematic maps on land classification, which was obtained by using ISODATA method of unsupervised classification based on high resolution Quickbird satellite data, were converted into ground reflectance images through reflectance conversion based on a ground object spectral library. Atmospheric correction was carried out by the atmospheric radiation transmission software package MODTRAN. With satellite remote sensor’s radiometric calibration coefficients, satellite remote sensor output images were generated from ground reflectance images. System simulation results show that optical remote sensing imaging simulation provides a valid method of camouflage effect test.
出处 《系统仿真学报》 CAS CSCD 北大核心 2008年第22期6265-6267,共3页 Journal of System Simulation
基金 国家自然科学基金(40571105) 中科院知识创新工程项目(O53H931291) 博士基金(KY08062).
关键词 快鸟数据 光学遥感器 成像 仿真 Quickbird data,optical remote sensor,imaging,simulation
  • 相关文献

参考文献6

二级参考文献23

  • 1张玉进,肖继东,袁春琼,沈涛,谭灵芝,李谢辉.基于卫星遥感的区域土地利用/覆盖变化研究[J].新疆气象,2004,27(3):16-19. 被引量:4
  • 2张翊涛,陈洋,王润生.结合自动分区与分层分析的多光谱遥感图像地物分类方法[J].遥感技术与应用,2005,20(3):332-337. 被引量:14
  • 3李俊祥,达良俊,王玉洁,宋永昌.基于NOAA-AVHRR数据的中国东部地区植被遥感分类研究[J].植物生态学报,2005,29(3):436-443. 被引量:31
  • 4[11]Compton J.Tucker et al.African Land-Cover Classification Using Satellite Data [J].SCINCE.1985,227,(4685):369-375.
  • 5[12]Weiss E et al.Application of NOAA-AVHRR NDVI Time-serial Data to Assess Changes in Saudi Arabia's Rangelands[J].International Journal of Remote Sensing.2001,22,(6):1005-1027.
  • 6[13]C.J.TUCKER et al.AVHRR data sets for determination of desert spatial extent[J].International Journal of Remote Sensing.1994,15,(17):3547-3565.
  • 7[14]F.YU et al.International variations of the grassland boundaries bordering the eastern edges of the Gobi Desert in central Asia[J].International Journal of Remote Sensing.2004,25,(2):327-345.
  • 8John R Schott, et al. Incorporation of a time-dependent thermodynamic model and a radiation propagation model into infrared three- dimensional synthetic image generation [J]. Opt. Eng. 1992, 31(7): 1505-1516.
  • 9James E Shiftlett, et al. Application of distributed interactive simulation technology within the department of defense [J]. IEEE, 1995, 83(8): 1168-1178.
  • 10Sunjay E Talele, et al. The Eglin Virtual Range Database for Hardware-in-the-loop Testing [J]. Proc. SPIE, 1998, 3368: 269-287.

共引文献65

同被引文献21

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部