Coherent Stacking with TerraSAR-X Imagery in Urban Areas

被引:0
|
作者
Adam, Nico
Zhu, Xiaoxiang
Bamler, Richard
机构
关键词
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The German radar satellite TerraSAR-X was launched in June 2007. It is one of the first satellites to continuously provide space-borne high resolution radar imagery with a slant range resolution in the order of 0.6 in x 1.1 in for civil applications. The sensor, the mission design, the orbit concept, and the SAR processor (TMSP) perfectly support interferometric applications. Naturally, DLR's operational interferometric system GENESIS has been adapted to exploit the innovative high resolution data. Algorithm updates have been proven indispensable due to the more complicated spectral characteristic of the data introduced by the spotlight acquisition mode. Also, the high spatial resolution requires that radargrammetric effects, i.e. local parallaxes, be considered in interferometric processing. Several interferometric methods using high resolution TerraSAR-X data will be presented in detail: conventional interferometric three-dimensional mapping of the Earth's surface, assessment of ground and building deformation using differential interferometry (D-InSAR), and the more advanced persistent scatterer interferometry (PSI). Interferometric imaging is particularly interesting for mapping of urban areas, where standard SAR imagery is hard to interpret due to Jay-over, shadow, and multiple scattering effects. Multibaseline techniques, PSI, and SAR tomography allow resolving these geometric ambiguities and aim at a true 3-D localization of objects and their potential motion vectors. The high-resolution and the so far unchallenged geometric accuracy of TerraSAR-X data push open the door to a new quality of geodetic imaging: Compared to the ERS-type SARs the number of long-time stable (persistent) scatterers increases dramatically from typically 400 per km2 to more than 30,000 per km2, i.e. to several tens per building, allowing the mapping of the 3-D structure of the city and its deformations (i.e. 4-D). The resolution is high enough to investigate structural deformation of individual buildings (e.g. due to thermal stress) by D-InSAR for the first time. The short revisit time of 11 days as compared to the 35 day of ERS and ENVISAT favors a fast build-up of interferometric data stacks. A wide range of incidence angles supports the 4-D imaging capabilities. The most powerful interferometric imaging method on urban areas is the PSI technique. This technology, although well established, needs to be complemented by tomography when ultimate 3-D/4-D imaging quality is asked for. In the extended layover areas scatterers from the ground and from buildings are mapped into a single resolution cell quite often. The goal of SAR tomography is to estimate the 3-D scatterer distribution rather than only an elevation value for every point in 2-D space. Like PSI it is based on coherent stacks of SAR data and uses the diversity of the look angle i.e. the effective baseline to establish a synthetic aperture in the cross-range (elevation) direction. Therefore, it can be considered a natural extension of the PSI technique which was initially developed for the special case of a single scatterer inside the resolution cell. In this presentation we will illustrate the information content of spotlight SAR images in urban areas and demonstrate the technological potential of high resolution SAR interferometry from TerraSAR-X by PSI and tomography processing examples.
引用
收藏
页码:129 / 134
页数:6
相关论文
共 50 条
  • [21] TerraSAR-X mission
    Werninghaus, R
    [J]. SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES VI, 2004, 5236 : 9 - 16
  • [22] Productivity of TerraSAR-X 3D Data In Urban Areas: A Case Study In Trento
    Sefercik, Umut Gunes
    [J]. EUROPEAN JOURNAL OF REMOTE SENSING, 2013, 46 : 597 - 612
  • [23] The TerraSAR-X Satellite
    Pitz, Wolfgang
    Miller, David
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (02): : 615 - 622
  • [24] Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery
    Marsh, O. J.
    Price, D.
    Courville, Z. R.
    Floricioiu, D.
    [J]. COLD REGIONS SCIENCE AND TECHNOLOGY, 2021, 187
  • [25] Monitoring River Estuaries and Coastal Areas using TerraSAR-X
    Brusch, S.
    Held, Ph.
    Lehner, S.
    [J]. OCEANS 2009 - EUROPE, VOLS 1 AND 2, 2009, : 187 - 190
  • [26] MARITIME PRODUCTS USING TERRASAR-X and SENTINEL-1 IMAGERY
    Lehner, S.
    Tings, B.
    [J]. 36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3): : 967 - 973
  • [27] Superstructure scattering distribution based ship recognition in TerraSAR-X imagery
    Xing, X. W.
    Ji, K. F.
    Chen, W. T.
    Zou, H. X.
    Sun, J. X.
    [J]. 35TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT (ISRSE35), 2014, 17
  • [28] Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery
    Vastaranta, Mikko
    Niemi, Mikko
    Karjalainen, Mika
    Peuhkurinen, Jussi
    Kankare, Ville
    Hyyppa, Juha
    Holopainen, Markus
    [J]. REMOTE SENSING, 2014, 6 (04) : 3227 - 3246
  • [29] SEMANTIC INDEXING OF TERRASAR-X AND IN SITU DATA FOR URBAN ANALYTICS
    Molina, D. Espinoza
    Alonso, K.
    Datcu, M.
    [J]. INTERNATIONAL CONFERENCE ON SENSORS & MODELS IN REMOTE SENSING & PHOTOGRAMMETRY, 2015, 41 (W5): : 185 - 188
  • [30] MAPPING URBAN SUBSIDENCE WITH TERRASAR-X DATA BY PSI ANALYSIS
    Ge, Daqing
    Wang, Yan
    Zhang, Ling
    Guo, Xiaofang
    Xia, Ye
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3323 - 3326