High-resolution image multiplexing using amplitude grating for remote sensing applications

Abstract

High-resolution images are essential in many remote sensing applications such as weather prediction, deforestation, crop monitoring, land mapping, urban growth, etc. In these applications, it is necessary to use multiple high-resolution images for proper analysis. These images carry a lot of information; therefore, multiplexing plays an important role for efficient storage of the images. Hence, we provide an idea of multiplexing high-resolution images using amplitude grating. Initially, images are modulated with variable spatial frequencies and orientation angles followed by the addition of modulated spectrums to form a single spectrum plane. The resultant spectrum plane is filtered before transmission to eliminate noise. To optimize storage space, only a part of the filtered spectrum is transmitted. A pixel intensity graph is plotted to identify the location of maximum information of the images, which is required during the retrieval process. The quality of the output images is analyzed by peak signal-to-noise ratio, structural similarity index measurement, and correlation coefficient methods. The entire work is done by simulation software, and we prove that our proposed multiplexing method is suitable for efficient storage of high-resolution images in remote sensing applications.