Abstract
Interferometric coherence is an important indicator of the quality of interferograms obtained by synthetic aperture interferometric radars (InSAR), because the areas with low coherence are not suitable for interferometric data processing. The coherence value is used as a parameter for adaptive phase noise suppression algorithms. It can also be used for surface classification tasks. The paper investigates the problem of the coherence estimate reducing under the influence of the topographic phase slope and considers ways to reduce the impact of the slope on the estimate value. The paper presents a comparative efficiency analysis of four methods for coherence maps calculation used for the phase noise suppression on the interferograms by a spectral adaptive filter in interferometric data processing for the Earth’s remote sensing space radar ALOS PALSAR
Highlights
The paper presents a comparative efficiency analysis of four methods for coherence maps calculation used for the phase noise suppression on the interferograms by a spectral adaptive filter in interferometric data processing for the Earth's remote sensing space radar ALOS PALSAR
The method of space radar interferometry, which essence is the joint processing of phase fields obtained by imaging the same area simultaneously with two antenna systems or by one antenna on two orbits, combines the high accuracy of the phase method of measuring range with high resolution of space synthesized aperture radars (SAR) [1,2,3,4,5]
Where φ*i are the values of phase of interferogram after non-coherent accumulation or after the suppression of the phase noise, 0i are the absolute phase reference obtained by converting the reference of altitudes according to the formula:
Summary
The method of space radar interferometry, which essence is the joint processing of phase fields obtained by imaging the same area simultaneously with two antenna systems or by one antenna on two orbits, combines the high accuracy of the phase method of measuring range with high resolution of space synthesized aperture radars (SAR) [1,2,3,4,5]. This technique makes it possible to obtain digital elevation models (DEM) and displacement maps from multiple radar observations.
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