A Novel Algorithm for Digital Lithological Mapping: Case Studies in Sri Lanka’s Mineral Exploration

作     者：Ramanayake, R.M.L.S. Dammage, D.C. Zumri, I.Z.M. Rodrigo, K.A.R.S. Perera, A.A.P. Fernando, D. Godaliyadda, G.M.R.I. Herath, H.M.V.R. Ekanayake, M.P.B. Senaratne, A. Kizel, Fadi 

作者机构：Department of Electrical and Computer Engineering Rutgers University New BrunswickNJ08901 United States Department of Electrical and Electronic Engineering Faculty of Engineering University of Peradeniya Peradeniya20400 Sri Lanka Department of Geology Faculty of Science University of Peradeniya Peradeniya20400 Sri Lanka Department of Mapping and Geoinformation Engineering Civil and Environmental Engineering Technion-Israel Institute of Technology Haifa3200003 Israel 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Remote sensing 

摘      要：Conventional manual lithological mapping (MLM) through field surveys are resource-extensive and time-consuming. Digital lithological mapping (DLM), harnessing remotely sensed spectral imaging techniques, provides an effective strategy to streamline target locations for MLM or an efficient alternative to MLM. DLM relies on laboratory-generated generic end-member signatures of minerals for spectral analysis. Thus, the accuracy of DLM may be limited due to the presence of site-specific impurities. A strategy, based on a hybrid machine-learning and signal-processing algorithm, is proposed in this paper to tackle this problem of site-specific impurities. In addition, a soil pixel alignment strategy is proposed here to visualize the relative purity of the target minerals. The proposed methodologies are validated via case studies for mapping of Limestone deposits in Jaffna, Ilmenite deposits in Pulmoddai and Mannar, and Montmorillonite deposits in Murunkan, Sri Lanka. The results of satellite-based spectral imaging analysis were corroborated with X-ray diffraction (XRD) and Magnetic Separation (MS) analysis of soil samples collected from those sites via field surveys. There exists a good correspondence between the relative availability of the minerals with the XRD and MS results. In particular, correlation coefficients of 0.8115 and 0.9853 were found for the sites in Pulmoddai and Jaffna respectively. © 2024, CC BY-NC-ND.