Evaluation of ICA and CEM algorithms with Landsat-8/ASTER data for geological mapping in inaccessible regions

• Published in: Geocarto International
• Main Authors: Amin Beiranvand Pour, Yongcheol Park, Tae-Yoon S. Park, Jong Kuk Hong, Mazlan Hashim, Jusun Woo, Iman Ayoobi
• Format: Article in Journal/Newspaper
• Language: English
• Published: Taylor & Francis Group 2019
• Subjects: independent component analysis (ica); constrained energy minimization (cem); aster; landsat-8; inaccessible regions; geological mapping; Physical geography; GB3-5030; Arctic; Helliwell Hills; Morozumi Range; Victoria Land; Antarc*; Antarctica
• Online Access: https://doi.org/10.1080/10106049.2018.1434684; https://doaj.org/article/f8fe2b8fe74542bcbb2c79637f69d7e7

Many regions remain poorly studied in terms of geological mapping and mineral exploration in inaccessible regions especially in the Arctic and Antarctica due to harsh conditions and logistic difficulties. Application of specialized image processing techniques is capable of revealing the hidden linear mixing spectra in multispectral and hyperspectral satellite images. In this study, the applications of Independent component analysis (ICA) and Constrained Energy Minimization (CEM) algorithms were evaluated for Landsat-8 and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) remote sensing data for geological mapping in Morozumi Range and Helliwell Hills areas, Northern Victoria Land (NVL), Antarctica. The results of this investigation demonstrate the capability of the two algorithms in distinguishing pixel and subpixel targets in the multispectral satellite data. The application of the methods for identifying poorly exposed geologic materials and subpixel exposures of alteration minerals has invaluable implications for geological mapping and mineral exploration in inaccessible regions.