Denoising Hyperspectral Patches Between Manzius U & Boguslawsky M Lunar Craters from the Ch-1 M3 & Ch-2 IIRS Data

Abstract

The Chandrayaan 3 (Ch-3) mission, as of the day (23rd of August 2023), is all set to explore the moon’s surface in great detail. Scientists have carefully chosen the landing site based on data gathered from previous missions, namely Chandrayaan 2’s (Ch-2) Imaging Infrared Spectrometer (IIRS) and Chandrayaan 1’s (Ch-1) Moon Mineralogy Mapper (M³). Our research analyzes the data from the selected Ch-3 landing site by using sophisticated techniques to remove unwanted noise from the hyperspectral images provided by IIRS and M³. The IIRS on Ch-2 and M³ on Ch-1 captured valuable information differently, giving us a better understanding of the moon’s composition and features. We aim to improve the quality of the Ch-3 landing site data by eliminating any interference caused by noise, making the images clearer and more useful. To achieve this, we’re employing two denoising methods- HyRes (Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling) and HyMiNoR (Hyperspectral Mixed Gaussian and Sparse Noise Reduction). These smart algorithms will help us reveal the true nature of the lunar landscape hidden beneath the noise, giving us better insights into the landing site’s characteristics.