期刊文献+

机载InSAR数据自动生成DEM技术及其在内蒙古丰镇地区的应用 被引量:2

Automatic DEM generation technology by airborne InSAR data and its application to Fengzhen,Inner Mongolia
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摘要 合成孔径雷达干涉测量(InSAR)技术是传统的合成孔径雷达技术和射电天文学中的干涉测量技术相结合而发展起来的一项新的遥感技术,这一新技术以其在大范围地表高程测量和地表变形测量方面所具有的独特优势和巨大潜力,而成为对地测量和地学科学研究的一个重要的工具。同星载InSAR相比,机载InSAR在高分辨率区域测图方面具有较大的优势,而且数据采集的时间安排及飞行方位选取方面相对较灵活。而且SAR是一种主动微波遥感技术,具有全天时全天候的工作特征,这一技术也正在成为中国西部困难地区测图的一个非常有效的工具。在详细分析应用机载InSAR数据测量地表高程的基本原理的基础上,提出了机载InSAR自动生成DEM的技术流程,并以内蒙古丰镇地区的机载InSAR数据为基础进行了试验研究,取得了较好的效果,为这一新技术的进一步实际应用奠定了基础。 Synthetic aperture radar interferometry (InSAR) is a new imaging remote sensing technique developed by incorporating conventional SAR techniques and interferornetry techniques that have been used in radio astronomy for several decades. The InSAR becomes a very important tool for earth observation and scientific research because of its considerable potential in large scope measurement of surface topography and deformation. Compared to the spaceborne InSAR, the role of airborne InSAR system lies in regional mapping at high resolution. The flexibility in scheduling airborne acquisitions in acquiring data from different orientations and in configuring a variety of radar modes are key assets of airborne systems, which will ensure their usefulness well into the future. In this paper, the basic principles of surface topographic measurement by airborne InSAR data are described in detail. Then a corresponding flowchart of automatic digital elevation model (DEM) generation is presented. Some experimental research based on airborne InSAR data acquired at Fengzhen, Inner Mongolia is introduced. Therefore, a solid foundation for further application to regional mapping by InSAR techniques has been prepared.
出处 《地学前缘》 EI CAS CSCD 北大核心 2006年第3期104-107,共4页 Earth Science Frontiers
基金 国家"863"资助项目(2001AA132010) 国家基础测绘资助项目(1469990424233)
关键词 干涉测量 合成孔径雷达 星载 机载 数字高程模型 interferometry Synthetic Aperture Radar (SAR) spaceborne airborne Digital Elevation Model (DEM)
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参考文献7

  • 1BAMLER R,HARTL P.Synthetic aperture radar interferometry[J].Inverse Problem,1998(14):1-14.
  • 2ROSEN P A,HENSLEY S.Synthetic aperture radar interferometry[J].Proceedings of The IEEE,2000,88(3):333-382.
  • 3GENS R,van GENDEREN J L.SAR interferometry-issues,techniques,applications[J].INT J Remote Sensing,1996,17(10):1803-1835.
  • 4ZEBKER H A,GOLDSTEIN J.Topographic mapping from interferometric synthetic aperture radar observations[J].Journal of Geophysical Research,1986,91(B5):4993-4999.
  • 5张继贤,杨明辉,黄国满.机载合成孔径雷达技术在地形测绘中的应用及其进展[J].测绘科学,2004,29(6):24-26. 被引量:24
  • 6赵争,张继贤,黄国满,曹银璇,仇春平,王荣彬.基于高分辨率机载SAR数据的试验研究[J].测绘科学,2004,29(6):34-37. 被引量:8
  • 7RABUS B,EINEDER M E.The shuttle radar tomography mission-a new class of digital elevation models acquired by spaceborne radar,ISPRS[J].Journal of Photogrammetry & Remote Sensing,2003(57):241-262.

二级参考文献12

  • 1[1]InSAR-interferometric synthetic aperture radar[EB/OL].http://www.orbisat.com.br/remote_sensing/technology.html
  • 2[2]Rudiger g,John L, Genderen V. SAR interferometry-issues, techniques, applications[J].International Journal of Remote Sensing, 1996,17:1803-1835.
  • 3[3]Nyoungui N.Evaluation of speckle filtering and textureanalysis methods for land cover classification from SAR images[J].INT.J.Remote Sensing, 2002,24.
  • 4[4]Keong K L.Geocoding of spaceborne SAR imagery[A].In:Proceedings of Seminar on the integration of Remote Sensing and GIS for applications in South East Asia[C].1995.
  • 5[5]Toutin Th. Review article: geometric processing of remote sensing images: models, algorithms and methods[J].International Journal of Remote Sensing, 2003, 25:1893-1924.
  • 6[6]EvansD L, Farr T G. Radar Polarization: Analysis Toolsand Applications[J]. IEEE Transaction on Geoscience and Remote Sensing. 1988, 28 (6):233-241.
  • 7[1]张直中.机载和星载合成孔径雷达导论[M].北京:电子工业出版社,2003.
  • 8[2]Lou Y, et al.The NASA/JPL airborne synthetic aperture radar system[R].http://airar.jpl.nasa.gov/ documents/ genairsar/.
  • 9[3]Hoffmann K and Fischer P.DOSAR: A multifrquency polarimetric and interferometric airborne SAR-system[A]. In:2002 International Geoscience and Remote Sensing Symposium and the 24th Canadian Symposium on Remote Sensing [C],Toronto, Canada,2002.
  • 10[5]Josef M Kellndorfer, M Craig Dobson, Mike Clutter, et al.Forest parameter retrieval with JPL airsar P-, L-and C-band data:a plot level analysis for slash pine stands in Georgia[J],In:IEEE Geoscience and Remote Sensing Symposium, 2002(4):2066-2068.

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