A review of unsupervised band selection techniques: Land cover classification for hyperspectral earth observation data
A hyperspectral image (HSI) is a collection of several narrow-band images that span a wide
spectral range. Each band reflects the same scene, composed of various objects imaged at …
spectral range. Each band reflects the same scene, composed of various objects imaged at …
A multiscale superpixel-level group clustering framework for hyperspectral band selection
Hyperspectral imagery (HSI) contains hundreds of bands, which provide a wealth of spectral
information and enable better characterization of features. However, the excessive …
information and enable better characterization of features. However, the excessive …
Supervised data-driven approach for hyperspectral band selection using quantization
A Paul, N Chaki - Geocarto International, 2022 - Taylor & Francis
Hyperspectral image (HSI), acquired in narrow and contiguous bands, contains redundant
information in neighbouring bands. In order to overcome the processing overhead of this …
information in neighbouring bands. In order to overcome the processing overhead of this …
Hyperspectral anomaly detection through sparse representation with tensor decomposition-based dictionary construction and adaptive weighting
Sparse representation-based methods, as an important branch of anomaly detection (AD)
technologies for hyperspectral imagery (HSI), have attracted extensive attention. How to …
technologies for hyperspectral imagery (HSI), have attracted extensive attention. How to …
Dimensionality reduction of hyperspectral images: a data-driven approach for band selection
A Paul, P Sahoo, N Chaki - Advanced Computing and Systems for Security …, 2020 - Springer
Hyperspectral image (HSI) contains a large number of correlated bands. The processing of
such image is associated with computational challenges like Hughes phenomenon, for …
such image is associated with computational challenges like Hughes phenomenon, for …
Data-Driven Approach for Hyperspectral Band Selection
A Paul, N Chaki - Dimensionality Reduction of Hyperspectral Imagery, 2023 - Springer
The primary objective of dimensionality reduction (DR) methods is to remove the information
redundancy from the spectral dimension of hyperspectral imagery (HSI) to improve …
redundancy from the spectral dimension of hyperspectral imagery (HSI) to improve …