System and method of multi-modal super-resolution deep neural network for coastal areas classification

Abstract

A method, and a system for training super-resolution deep neural network to classify coastal area in Remote Sensing (RS) image includes retrieving RS image having first resolution. Further, the method includes processing RS image through multi-block residual attention based Very Deep Super Resolution (VDSR) network to obtain residual image. The method includes generating high-resolution output image by adding residual image to RS image. Further, the method includes generating color feature map using high-resolution output image. The method includes generating resultant feature map by processing high-resolution output image through multimodal inception attention network (MIAN) including plurality of inception attention processes. Further, the method includes combining the color feature map and resultant feature map. The method further includes learning to classify composite feature image into plurality of coastal area categories. The method includes displaying the composite feature image and classification category.