Automated mineralogical anomaly detection using a categorization of optical maturity trend at lunar surface-Reference-Cited by-同舟云学术

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Automated mineralogical anomaly detection using a categorization of optical maturity trend at lunar surface

Published:2021-10-01 Issue:21 Volume:42 Page:8262-8297
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Roy Sukanta¹^ORCID,Pathak Sumit²³,Omkar Subbaramajois Narasipur¹

Affiliation:

1. Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India

2. Department of Geology & Geophysics, Indian Institute of Technology, Kharagpur, India

3. Department of Geology, School of Earth Sciences, Banasthali University, Rajasthan, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1976872

Reference91 articles.

1. Visible and near-infrared diffuse reflectance spectra of pyroxenes as applied to remote sensing of solid objects in the solar system

2. Rille pattern in the lunar crater Humboldt

3. Detection of hydroxyl-bearing exposures of possible magmatic origin on the central peak of crater Theophilus using Chandrayaan-1 Moon Mineralogy Mapper (M3) data

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