MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data
Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data
Conference Proceeding

Estimation of Lunar FeO and TiO2 with Support Vector Regression Analysis and Evaluation of the Stokes Parameter Using M3 and LRO Mini RF Data

2025
Request Book From Autostore and Choose the Collection Method
Overview
Moon Mineralogy Mapper (M3), the hyperspectral sensor of ISRO’s Chandrayaan 1 mission, dedicated to map the surface mineral composition, provided an opportunity to map the lunar regolith in Global and Target modes. These high resolution hyperspectral data is used to recalibrate the pioneer work of Lucey et al. (2000) and thus estimated the FeO and TiO2 contents of the regolith. As the FeO and TiO2 estimations have to handle a huge amount of data, Support Vector Regression analysis (SVR) is introduced to reform the FeO and TiO2 wt % equations for Apollo and Luna landing sites. These equations with the optimized origin are used to estimate the FeO and TiO2 contents of the target locations. Catharina crater of the lunar near side is taken as the study area and FeO and TiO2 wt% of the crater are estimated with M3 data. Composite chemical content (FeO wt%+ TiO2 wt %) of the Catharina crater is estimated. LRO mini RF, Hybrid-polarized, dual-frequency synthetic aperture radar of LRO mission is used to characterize the back scattering properties of the crater surface. Stokes parameters are extracted from the LRO mini RF SAR data for the same study area. Composite chemical content estimated using M3 data is compared with the Stokes total intensity parameter extracted from the LRO mini RF data. The total intensity parameter (Stokes vector S1) is directly proportional to the composite chemical content and thus shows a linear relationship.