Abstract

The experimental study of the efficiency of interferometric data processing algorithms for synthetic aperture space radars is complicated by the fact that a quantitative result can be obtained only after the completion of the entire technological chain. The efficiency of the first stages of interferometric processing - incoherent accumulation and suppression of phase noise-has been studied on the basis of the method of inverse transformation of standards previously proposed by the authors. The results of estimation of accuracy of digital elevation model construction for ALOS PALSAR data with different base lengths and polarizations of the probing signal are presented.

Highlights

  • A widespread application of interferometric data processing (InSAR and DInSAR technologies) for obtaining Earth surface elevation and its changes has become one of the main trends in the development of modern radar systems of space observation, along with the implementation of ultra-high spatial resolution modes and shooting in full polarization basis [1,2,3]

  • The essence of the method of space radar interferometry is the joint processing of phase fields obtained by imaging the same area simultaneously by radar with two systems, or with one antenna and two orbit passes to extract information about the shape of the Earth's surface relief and/or its changes

  • It is possible to evaluate the efficiency of phase noise suppression for real scenes after the completion of the entire interferometric processing chain ("end-to-end evaluation") by comparison of the result with the reference elevation data obtained by ground measurements

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Summary

Introduction

A widespread application of interferometric data processing (InSAR and DInSAR technologies) for obtaining Earth surface elevation and its changes has become one of the main trends in the development of modern radar systems of space observation, along with the implementation of ultra-high spatial resolution modes and shooting in full polarization basis [1,2,3]. This work is devoted to development of an estimation technique for the efficiency evaluation of phase noise suppression algorithms on the InSAR interferograms using various filters. It is possible to evaluate the efficiency of phase noise suppression for real scenes (in terms of the precision of the interferometric processing result) after the completion of the entire interferometric processing chain ("end-to-end evaluation") by comparison of the result (the elevation matrix or its individual elements) with the reference elevation data obtained by ground measurements.

Results
Conclusion

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