A review on advancements in lithological mapping utilizing machine learning algorithms and remote sensing data
Author:
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference94 articles.
1. Improving lithological mapping by SVM classification of spectral and morphological features: the discovery of a new chromite body in the mawat ophiolite complex (Kurdistan, NE Iraq);Othman;Rem. Sens.,2014
2. Optimized lithological mapping from multispectral and hyperspectral remote sensing images using fused multi-classifiers;Pal;Rem. Sens.,2020
3. Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review;Peyghambari;J. Appl. Remote Sens.,2021
4. Lithologic mapping of a forested montane terrain from landsat 5 TM image;Mahmood;Geocarto Int.,2018
5. Lithological mapping in Sangan region in Northeast Iran using ASTER satellite data and image processing methods;Rezaei;Geol. Ecol. Landsc.,2020
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