{"title":"Denoising Hyperspectral Patches Between Manzius U & Boguslawsky M Lunar Craters from the Ch-1 M3 & Ch-2 IIRS Data","authors":"Anurag Dutta","doi":"10.1007/s12524-024-01883-5","DOIUrl":null,"url":null,"abstract":"<p>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 (M<sup>3</sup>). 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 M<sup>3</sup>. The IIRS on Ch-2 and M<sup>3</sup> 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.</p>","PeriodicalId":17510,"journal":{"name":"Journal of the Indian Society of Remote Sensing","volume":"60 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Indian Society of Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12524-024-01883-5","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.