Hyperspectral Imaging of Rocks: Mineralogical Characteristics and Classification
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Exploration Methods and Applications".
Deadline for manuscript submissions: 26 September 2025 | Viewed by 126
Special Issue Editors
2. Graduate Program in Applied Computing, Vale do Rio dos Sinos University, São Leopoldo, RS, Brazil
Interests: remote sensing; hyperspectral imaging and analysis; geologic classification; pattern recognition
Interests: applied artificial intelligence; programming; artificial intelligence data visualization; python; 3D modeling; geographic information system; image segmentation
Special Issue Information
Dear Colleagues,
Hyperspectral imaging has increasingly become an essential method for characterizing and classifying rocks based on their unique mineralogical signatures. With advancements in imaging technology and spectral analysis techniques, hyperspectral approaches now offer unprecedented opportunities for detailed mineralogical studies, facilitating precise rock classification and improved exploration outcomes. However, accurately interpreting hyperspectral data requires comprehensive studies of minerals’ spectral characteristics, integrated with the geological context. This Special Issue aims to present the latest, cutting-edge advances in hyperspectral imaging focused on the mineralogical characteristics and classification of rocks. It invites original scientific research addressing the following: (1) innovative methods for spectral data acquisition, processing, and analysis; (2) the interpretation of spectral signatures in visible, near-infrared, and infrared regions; and (3) integrated approaches that combine hyperspectral imaging with other geoscientific tools to enhance mineral identification and classification accuracy.
Dr. Daniel Capella Zanotta
Dr. Ademir Marques Junior
Dr. Joice Cagliari
Guest Editors
Manuscript Submission Information
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Keywords
- hyperspectral imaging
- mineral classification
- spectral signatures
- rock characterization
- geological mapping
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