Open-Set Identification of Minerals From CRISM Hyperspectral Data-Reference-Cited by-同舟云学术

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Open-Set Identification of Minerals From CRISM Hyperspectral Data

Published:2024-07-07 Issue: Volume: Page:6164-6167
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Dhoundiyal Sandeepan¹,Dey Moni Shankar¹,Singh Shashikant¹,Arun Pattathal V.²,Thangjam Guneshwar³,Porwal Alok¹

Affiliation:

1. Indian Institute of Technology Bombay,Centre of Studies in Resources Engineering,Mumbai,India

2. Indian Institute of Information Technology,Computer Science and Engineering Group,Sri City,India

3. National Institute of Science Education and Research, HBNI,School of Earth and Planetary Sciences,Bhubaneswar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642309.pdf?arnumber=10642309

Reference9 articles.

1. The CRISM investigation in Mars orbit: Overview, history, and delivered data products

2. Revised CRISM spectral parameters and summary products based on the currently detected mineral diversity on Mars

3. A novel algorithm for mapping carbonates using CRISM hyperspectral data

4. Adversarial feature learning for improved mineral mapping of CRISM data

5. A machine learning toolkit for CRISM image analysis

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