Ambiguity detection and suppression in sar images

A computer-implemented method of detecting and suppressing azimuth ambiguities in synthetic aperture radar “SAR” single look complex image data, the method comprising:

• obtaining SAR single look complex image data;
• transforming the SAR single look complex image data to obtain a Doppler spectrum in the frequency domain for detecting azimuth ambiguities, wherein transforming the single look complex image data to obtain a Doppler spectrum comprises performing a Fourier transform operation in the azimuth direction on the image data,
• extracting phase information from the Doppler spectrum;
• detecting, in the Doppler spectrum, one or more azimuth ambiguities;
• and
• suppressing the one or more azimuth ambiguities to obtain corrected data, wherein,
• the suppressing comprises applying an ambiguity suppression machine learning model;
• and
• reinstating the phase information after suppressing the azimuth ambiguities such that the phase information of the Doppler spectrum is conserved.