[HTML][HTML] New ways to extract archaeological information from hyperspectral pixels
Airborne remote sensing for archaeology is the discipline that encompasses the study of
archaeological remains using data collected from an airborne platform by means of digital or …
archaeological remains using data collected from an airborne platform by means of digital or …
Detection of anomalies produced by buried archaeological structures using nonlinear principal component analysis applied to airborne hyperspectral image
RM Cavalli, GA Licciardi… - IEEE Journal of Selected …, 2012 - ieeexplore.ieee.org
In this paper, airborne hyperspectral data have been exploited by means of Nonlinear
Principal Component Analysis (NLPCA) to test their effectiveness as a tool for …
Principal Component Analysis (NLPCA) to test their effectiveness as a tool for …
Optimal spectral domain selection for maximizing archaeological signatures: Italy case studies
RM Cavalli, S Pascucci, S Pignatti - Sensors, 2009 - mdpi.com
Different landscape elements, including archaeological remains, can be automatically
classified when their spectral characteristics are different, but major difficulties occur when …
classified when their spectral characteristics are different, but major difficulties occur when …
Integrated approach for archaeological prospection exploiting airborne hyperspectral remote sensing
RM Cavalli - Good Practice in Archaeological Diagnostics: Non …, 2013 - Springer
Earth observation activities, used to detect buried archaeological remains and survey the
archaeological landscape, can exploit the integration of multi-platform (ie satellite, airborne …
archaeological landscape, can exploit the integration of multi-platform (ie satellite, airborne …
[引用][C] Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image
BASUN Principal