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cs.CV2020
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios
Filip Pałka, Wojciech Książek, Paweł Pławiak +2
This study is focused on applying genetic algorithms (GA) to model and band selection in hyperspectral image classification. We use a forensic-inspired data set of seven hyperspect…
cs.CV2020
A Dataset for Evaluating Blood Detection in Hyperspectral Images
Michał Romaszewski, Przemysław Głomb, Arkadiusz Sochan +1
The sensitivity of imaging spectroscopy to haemoglobin derivatives makes it a promising tool for detecting blood. However, due to complexity and high dimensionality of hyperspectra…
cs.CV2018
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images
Przemysław Głomb, Krzysztof Domino, Michał Romaszewski +1
In the small target detection problem a pattern to be located is on the order of magnitude less numerous than other patterns present in the dataset. This applies both to the case o…