Abstract

Baseline parameters and interferometric phase offset need to be estimated accurately, for they are key parameters in processing of InSAR (Interferometric Synthetic Aperture Radar). If adopting baseline estimation algorithm with single pass, it needs large quantities of ground control points to estimate interferometric parameters for mosaicking multiple passes dual-antenna airborne InSAR data that covers large areas. What’s more, there will be great difference between heights derived from different passes due to the errors of estimated parameters. So, an estimation algorithm of interferometric parameters with block adjustment for multi-pass dual-antenna InSAR is presented to reduce the needed ground control points and height’s difference between different passes. The baseline estimation experiments were done with multi-pass InSAR data obtained by Chinese dual-antenna airborne InSAR system. Although there were less ground control points, the satisfied results were obtained, as validated the proposed baseline estimation algorithm.

Highlights

  • Interferometric Synthetic Aperture Radar [1,2,3] (InSAR) is one of the potential techniques for earth observing and mapping

  • The idea of block adjustment is often used for obtaining plenty of Ground Control Points (GCPs) that needed in mapping from less known GCPs in both optical photogrammetry and radargrammetry

  • In order to reduce the number of needed GCPs, the baseline estimation algorithm with block adjustment for multi-pass dual-antenna Interferometric Synthetic Aperture Radar [1-3] (InSAR) is presented in this paper

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Summary

INTRODUCTION

Interferometric Synthetic Aperture Radar [1,2,3] (InSAR) is one of the potential techniques for earth observing and mapping. If the relations between different data are not considered in baseline estimation or calibration of interferometric parameters for multiple passes dual-antenna airborne InSAR data that covers large areas, there will be the following two problems. It needs enough Ground Control Points (GCPs) in each pass, so, large quantities of GCPs are needed for multi-pass InSAR data that covers large areas. In order to reduce the number of needed GCPs, the baseline estimation algorithm with block adjustment for multi-pass dual-antenna InSAR is presented in this paper. The baseline estimation experiments with block adjustment were done with multi-pass InSAR data obtained by Chinese dual-antenna airborne InSAR system. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic results were obtained, as validated the proposed baseline estimation algorithm

BASELINE ESTIMATION WITH BLOCK ADJUSTMENT
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BASELINE ESTIMATION EXPERIMENTS
CONCLUSIONS
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