Quantitative Inversion of Martian Hydrous Minerals Based on LSTM-1DCNN Model

Quantitative Inversion of Martian Hydrous Minerals Based on LSTM-1DCNN Model

Hydrous minerals are significant indicators of the ancient aqueous environment on Mars, and orbital hyperspectral data are one of the most effective tools for obtaining information about the distribution of hydrous minerals on the Martian surface. However, prolonged weathering, erosion, and other ex...

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Bibliographic Details
Main Authors: Xinbao Liu, Ming Jin, Xiangnan Liu, Zhiming Yang, Zengqian Hou, Xiaozhong Ding
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
spectral unmixing
quantitative inversion
Martian hydrous minerals
deep learning
Online Access:https://www.mdpi.com/2072-4292/17/1/94
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