测绘学报

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公用主影像干涉图加权叠加方法及其在地面沉降监测中的应用

龙四春1,张诗玉2,冯涛3,李黎3   

  1. 1. 湖南湘潭市湖南科技大学煤炭资源清洁利用与矿山环境保护湖南省重点实验室
    2. 商丘师范学院
    3. 湖南科技大学
  • 收稿日期:2012-02-09 修回日期:2012-07-28 出版日期:2012-12-25 发布日期:2013-04-17
  • 通讯作者: 龙四春

A New Approach of Weighted Stacking Based on Common Master Image and Its Application in Ground Subsidence Monitoring

  • Received:2012-02-09 Revised:2012-07-28 Online:2012-12-25 Published:2013-04-17

摘要:

提出一种新的顾及相干图质量权重的加权叠加方法,以相干图中相干点的数量成正比来定权,避免了相干性太低的影像参与等权计算。阐述了公用主影像干涉图加权叠加方法的基本原理和数据处理流程,在公用主影像优化选取、减弱大气延迟影响、提高信噪比的数学模型进行改进,降低了影像数要求,提高了监测精度。选择天津地区2003到2006年11景ENVISAT ASAR数据,通过模型优化选取14529影像为公用主影像,进行干涉图加权叠加方法的实例解算,获得比传统DInSAR和Stacking方法更优的监测结果,其精度与精密水准测量相当。

关键词: 合成孔径雷达干涉测量, 影像加权叠加, 公用主影像, 沉降监测

Abstract:

A new weighted stacking approach considering the quality weight of coherence image was put forward, whose weight is set according to the quanlity of coherent points in the coherent images, this method can avoid low-coherence images’ participation in weighted calculation. The basic principle and data processing flow of weighted stacking based on common master image were introduced first. Then Its mathematical model of optimum selection of the common master image, weakening influence of atmospheric delay and increasing SNR(Signal to Noise Ratio)was improved. which reduces the requirements of image quantity, and higher surveying precision. Based on ENVISAT ASAR data of 11 scenes from Tianjin district during the period of 2003-2006, Image No.14529 was selected as a common master image by model optimization to calculate ground subsidence in weighted Stacking. Its precision is as high as high-precision leveling, higher than the conventional DInSAR and Stacking.

Key words: synthetic aperture radar differential interferometry, images weighted stacking, common master image, subsidence monitoring

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