Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques
In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …
vegetation parameters etc. are of utmost importance which is successfully being executed …
A semi-supervised learning method for hyperspectral imagery based on self-training and local-based affinity propagation
H Ge, H Pan, L Wang, C Li, Y Liu, W Zhu… - International Journal of …, 2021 - Taylor & Francis
In hyperspectral remote sensing, the classification of hyperspectral imagery is an important
issue of concern. However, obtaining sufficient labelled samples for the classification is hard …
issue of concern. However, obtaining sufficient labelled samples for the classification is hard …