Method and system for LULC guided SAR visualization

One or more non-transitory machine-readable information storage mediums comprising one or more instructions which when executed by one or more hardware processors cause:

• receiving a Synthetic Aperture RADAR (SAR) image comprising Vertical transmit and Vertical receive (VV) band and Vertical transmit and Horizontal receive (VH) band;
• pre-processing the SAR image concatenated with VH/VV band generated from the SAR image;
• generating a Land Use Land Cover (LULC) map from the pre-processed image using a first generator of a Generative Adversarial Network (GAN);
• concatenating the LULC map with the pre-processed image to obtain a concatenated image;
• and
• generating an optical image from the concatenated image using a second generator of the GAN, wherein the GAN comprises the first generator, the second generator and a discriminator, wherein training of the GAN comprises:
• receiving a training dataset comprising (i) a plurality of SAR images, (ii) a plurality of estimated LULC maps associated with each of the plurality of SAR images and (iii) one or more ground truth optical images associated with each of the plurality of SAR images;
• training the first generator using the plurality of SAR images and the estimated LULC maps comprised in the training dataset to generate a plurality of LULC maps from the plurality of SAR images;
• concatenating the generated plurality of LULC maps with the plurality of SAR images to obtain a plurality of concatenated images;
• and
• jointly training the second generator and the discriminator for a plurality of training epochs.

A system comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive a Synthetic Aperture RADAR (SAR) image comprising Vertical transmit and Vertical receive (VV) band and Vertical transmit and Horizontal receive (VH) band;
• pre-process the SAR image concatenated with VH/VV band generated from the SAR image;
• generate a Land Use Land Cover (LULC) map from the pre-processed image using a first generator of a Generative Adversarial Network (GAN);
• concatenate the LULC map with the pre-processed image to obtain a concatenated image;
• and
• generate an optical image from the concatenated image using a second generator of the GAN, wherein the GAN comprises the first generator, the second generator and a discriminator, wherein training of the GAN comprises:
• receiving a training dataset comprising (i) a plurality of SAR images, (ii) a plurality of estimated LULC maps associated with each of the plurality of SAR images and (iii) one or more ground truth optical images associated with each of the plurality of SAR images;
• training the first generator using the plurality of SAR images and the estimated LULC maps comprised in the training dataset to generate a plurality of LULC maps from the plurality of SAR images;
• concatenating the generated plurality of LULC maps with the plurality of SAR images to obtain a plurality of concatenated images;
• and
• jointly training the second generator and the discriminator for a plurality of training epochs.