Spectral variability in hyperspectral data unmixing: A comprehensive review
The spectral signatures of the materials contained in hyperspectral images, also called
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
endmembers (EMs), can be significantly affected by variations in atmospheric, illumination …
Machine learning based hyperspectral image analysis: a survey
UB Gewali, ST Monteiro, E Saber - ar** by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold …
In this study, we proposed an automated lithological map** approach by using spectral
enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible …
enhancement techniques and Machine Learning Algorithms (MLAs) using Airborne Visible …
A machine learning framework for drill-core mineral map** using hyperspectral and high-resolution mineralogical data fusion
Mining companies heavily rely on drill-core samples during exploration campaigns as they
provide valuable geological information to target important ore accumulations. Traditional …
provide valuable geological information to target important ore accumulations. Traditional …
[BUCH][B] Hyperspectral remote sensing: fundamentals and practices
R Pu - 2017 - taylorfrancis.com
Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …
applications are the key features of the book. This book will present in one volume complete …
Integration of terrestrial and drone-borne hyperspectral and photogrammetric sensing methods for exploration map** and mining monitoring
Map** lithology and geological structures accurately remains a challenge in difficult
terrain or in active mining areas. We demonstrate that the integration of terrestrial and drone …
terrain or in active mining areas. We demonstrate that the integration of terrestrial and drone …
Map** of mineral resources and lithological units: A review of remote sensing techniques
R Rajan Girija, S Mayappan - … Journal of Image and Data Fusion, 2019 - Taylor & Francis
The remote sensing (RS) techniques have become a guiding and promising tool for mineral
exploration and map** of lithological units. The RS for mineral exploration begins with …
exploration and map** of lithological units. The RS for mineral exploration begins with …
Close-range, ground-based hyperspectral imaging for mining applications at various scales: Review and case studies
Detailed map** of mineral phases at centimeter scale can be useful for geological
investigation, including resource exploration. This work reviews case histories of ground …
investigation, including resource exploration. This work reviews case histories of ground …
Real-time defect inspection of green coffee beans using NIR snapshot hyperspectral imaging
SY Chen, MF Chiu, XW Zou - Computers and Electronics in Agriculture, 2022 - Elsevier
Coffee beans are important agricultural commodities traded in the international market.
Screening for defective beans is an important step before roasting. The main types of …
Screening for defective beans is an important step before roasting. The main types of …