首页    期刊浏览 2025年02月26日 星期三
登录注册

文章基本信息

  • 标题:On the use of COSMO/SkyMed data and Weather Models for interferometric DEM generation
  • 本地全文:下载
  • 作者:Davide Oscar Nitti ; Fabio Bovenga ; Raffaele Nutricato
  • 期刊名称:European Journal of Remote Sensing
  • 电子版ISSN:2279-7254
  • 出版年度:2013
  • 卷号:46
  • 期号:1
  • 页码:250-271
  • DOI:10.5721/EuJRS20134614
  • 摘要:This work experiments the potentialities of COSMO/SkyMed (CSK) data in providing interferometric Digital Elevation Model (DEM). We processed a stack of CSK data for measuring with meter accuracy the ground elevation on the available coherent targets, and used these values to check the accuracy of DEMs derived from 5 tandem-like CSK pairs. In order to suppress the atmospheric signal we experimented a classical spatial filtering of the differential phase as well as the use of numerical weather prediction (NWP) model RAMS. Tandem-like pairs with normal baselines higher than 300 m allows to derive DEMs fulfilling the HRTI Level 3 specifications on the relative vertical accuracy, while the use of NWP models still seems unfeasible especially for X-band.
  • 关键词:SAR Interferometry ; COSMO/SkyMed ; numerical weather model
国家哲学社会科学文献中心版权所有