Spectral-spatial classification of hyperspectral imagery based on stacked sparse autoencoder and random forest
C Zhao, X Wan, G Zhao, B Cui, W Liu… - European journal of …, 2017 - Taylor & Francis
It is of great interest in exploiting spectral-spatial information for hyperspectral image (HSI)
classification at different spatial resolutions. This paper proposes a new spectral-spatial …
classification at different spatial resolutions. This paper proposes a new spectral-spatial …
Label-free discrimination of lung cancer cells through mueller matrix decomposition of diffuse reflectance imaging
S Shrestha, A Deshpande, T Farrahi, T Cambria… - … Signal Processing and …, 2018 - Elsevier
In this article, we explore the potential of an original label-free Near-Infrared (NIR) imaging
technique, based on Mueller Matrix decomposition reflectance, for efficient detection and …
technique, based on Mueller Matrix decomposition reflectance, for efficient detection and …
Bioinformatics of Lung Cancer
GC Giakos, S Marotta, S Shrestha… - … on Imaging Systems …, 2015 - ieeexplore.ieee.org
The objective of this study is to explore novel bioinformatics techniques, namely, the
Polarimetric Exploratory Data Analysis (pEDA), for early identification and discrimination of …
Polarimetric Exploratory Data Analysis (pEDA), for early identification and discrimination of …