Improving lithological mapping by support vector machine classification using integrated visible-near infrared, shortwave infrared, and thermal infrared of ASTER data sets
Sign Up to like & getrecommendations! Published in 2025 at "Geocarto International"
DOI: 10.1080/10106049.2025.2561990
Abstract: Abstract This study aims to enhance lithological mapping by employing Support Vector Machine (SVM) classification on integrated visible-near infrared (VNIR)-shortwave infrared (SWIR), and thermal infrared (TIR) datasets from the Advanced Spaceborne Thermal Emission and Reflection… read more here.
Keywords: classification; support vector; lithological mapping; aster ... See more keywords
Pixel and Object-Based Machine Learning Classification Schemes for Lithological Mapping Enhancement of Semi-Arid Regions Using Sentinel-2A Imagery: A Case Study of the Southern Moroccan Meseta
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3107294
Abstract: Mapping lithological units of an area using remote sensing data can be broadly grouped into pixel-based (PBIA), sub-pixel based (SPBIA) and object-based (GEOBIA) image analysis approaches. Since it is not only the datasets adequacy but… read more here.
Keywords: machine; lithological mapping; classification; mapping ... See more keywords
An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images
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DOI: 10.1109/jstars.2024.3372138
Abstract: Hyperspectral remote sensing images are characterized by nanoscale spectral resolution and hundreds of continuous spectral bands, dominating significantly in geological applications ranging from lithological mapping to mineral exploration. A major challenge lies in how to… read more here.
Keywords: cnn; based hyperspectral; lithological mapping; mapping based ... See more keywords
3D autoencoder algorithm for lithological mapping using ZY-1 02D hyperspectral imagery: a case study of Liuyuan region
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.15.042610
Abstract: Abstract. A hyperspectral image (HSI) contains hundreds of spectral bands, which provide detailed spectral information, thus offering an inherent advantage in classification. The successful launch of the Gaofen-5 and ZY-1 02D hyperspectral satellites has promoted… read more here.
Keywords: 02d hyperspectral; mapping; autoencoder; learning methods ... See more keywords
Machine Learning-Based Lithological Mapping from ASTER Remote-Sensing Imagery
Sign Up to like & getrecommendations! Published in 2024 at "Minerals"
DOI: 10.3390/min14020202
Abstract: Accurately mapping lithological features is essential for geological surveys and the exploration of mineral resources. Remote-sensing images have been widely used to extract information about mineralized alteration zones due to their cost-effectiveness and potential for… read more here.
Keywords: machine learning; lithological mapping; remote sensing; imagery ... See more keywords