2021
DOI: 10.48550/arxiv.2109.04990
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Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders

Debasrita Chakraborty,
Ashish Ghosh

Abstract: Binary change detection in bi-temporal co-registered hyperspectral images is a challenging task due to the large number of spectral bands present in the data. Researchers, therefore, try to handle it by reducing dimensions. The proposed work aims to build a novel feature extraction system using a feature fusion deep convolutional autoencoder for detecting changes between a pair of such bi-temporal co-registered hyperspectral images. The feature fusion considers features across successive levels and multiple re… Show more

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