Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
2.2
Journals
Minerals
Special Issues
Hyperspectral Imaging of Rocks: Mineralogical Characteristics and Classification
share announcement

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 512

Special Issue Editors

Dr. Daniel Capella Zanotta

E-Mail Website
Guest Editor
1. Vizlab — X-Reality and GeoInformatics Laboratory, UNISINOS, São Leopoldo 93022750, RS, Brazil
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
Dr. Ademir Marques Junior

E-Mail Website
Guest Editor
Vizlab—X-Reality and Geoinformatics Laboratory, Unisinos University, São Leopoldo 93022750, RS, Brazil
Interests: applied artificial intelligence; programming; artificial intelligence data visualization; python; 3D modeling; geographic information system; image segmentation
Dr. Joice Cagliari

E-Mail Website
Guest Editor
Geology Graduate Program, UNISINOS University, 950 Av. UNISINOS, São Leopoldo 93022750, RS, Brazil
Interests: sedimentology; cyclostratigraphy; isotopic geology; geological modeling; groundwater pollution

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Minerals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hyperspectral imaging
  • mineral classification
  • spectral signatures
  • rock characterization
  • geological mapping

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 52990 KiB  
Article
Identification of Alteration Minerals and Lithium-Bearing Pegmatite Deposits Using Remote Sensing Satellite Data in Dahongliutan Area, Western Kunlun, NW China
by Yong Bai, Jinlin Wang, Guo Jiang, Kefa Zhou, Shuguang Zhou, Wentian Mi and Yu An
Minerals 2025, 15(7), 671; https://doi.org/10.3390/min15070671 - 22 Jun 2025
Viewed by 273
Abstract
Remote sensing technology has significant technical advantages over traditional geological methods in geological mapping and mineral resource exploration, especially in high-altitude and steep topography areas. Geochemical sampling and geological mapping methods in these areas are difficult to use directly in mountainous regions such [...] Read more.
Remote sensing technology has significant technical advantages over traditional geological methods in geological mapping and mineral resource exploration, especially in high-altitude and steep topography areas. Geochemical sampling and geological mapping methods in these areas are difficult to use directly in mountainous regions such as West Kunlun. Therefore, in the face of Li-Be-Nb-Ta mineralization of the Dahongliutan rare-metal pegmatite deposit in West Kunlun, remote sensing has become an effective means to identify areas of interest for exploration in the early stage of the exploration campaigns. Several methods have been developed to detect pegmatites. Still, in this study, this methodology is based on spectral analysis to select bands of the ASTER and Landsat-8 OLI satellites, and methods, such as principal component analysis (PCA) and mixture tuned matched filtering (MTMF), to delineate the prospective areas of pegmatite. The results proved that PCA could map the hydrothermal alteration and structure information for pegmatites. To define new locations of interest for exploration, we introduced the spectra of spodumene-bearing pegmatites and tourmaline-bearing pegmatites as endmembers for the MTMF approach. The results indicate that the location of pegmatite areas on the ASTER and Landsat-8 OLI images overlaps with the ore deposits, and the location of potential ore-bearing pegmatites is delineated using remote sensing and geological sampling. Although this does not guarantee that all prospective areas have the mining value of ore-bearing pegmatites, it can provide basic data and technical references for early exploration of Li. Full article
(This article belongs to the Special Issue Hyperspectral Imaging of Rocks: Mineralogical Characteristics and Classification)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop