The compositional, chronological, topographical, and morphological features of Mare
Ingenii, an impact basin situated in the northwest part of the South Pole-Aitken basin (SPA) …

Hyperspectral imagery (HSI) in the visible to near-infrared wavelength region has a high
potential for deciphering mineral compositions of terrestrial and planetary surfaces. Thus …

This paper presents pioneering research that compares different graph formulation
techniques for mapping minerals on the lunar surface from hyperspectral images (HSIs) …

Lunar surface mineral mapping provides important information of the origin, evolution and
composition of the moon's surface. The minerals can be identified by the absorption features …

Although hyperspectral sensors are highly effective in mapping the minerals, the intimate
nonlinear mixing and resolution tradeoff affect their effectiveness. In this regard, this study …

Lunar hyperspectral remote sensing is one of the most important means to understand the
mineralogy mapping of the lunar surface. Hyperspectral (HS) images are characterized by …

Spectral unmixing in planetary data encounters challenges like noise, limited samples, and
high dimensionality, affecting its efficacy. Deep learning methods, while highly performant …

In this study, we offer a comparative analysis of Mineral Image data resources. The aim of
the machine learning-based project is to perform the multi-classification of minerals based …

Initial results from Imaging Infrared Spectrometer (IIRS) onboard ISRO’s
Chandrayaan-2 for lunar mineral detection Page 1 Initial results from Imaging Infrared …