PCA-based feature reduction for hyperspectral remote sensing image classification

MP Uddin, MA Mamun, MA Hossain - IETE Technical Review, 2021 - Taylor & Francis
The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential
information of land objects through contiguous narrow spectral wavelength bands. The …

Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification

MP Uddin, MA Mamun, MI Afjal… - International Journal of …, 2021 - Taylor & Francis
Hyperspectral image (HSI) usually holds information of land cover classes as a set of many
contiguous narrow spectral wavelength bands. For its efficient thematic mapping or …

3D residual spatial–spectral convolution network for hyperspectral remote sensing image classification

H Firat, ME Asker, MI Bayindir, D Hanbay - Neural Computing and …, 2023 - Springer
Hyperspectral remote sensing images (HRSI) are 3D image cubes that contain hundreds of
spectral bands and have two spatial dimensions and one spectral dimension. HRSI analysis …

Hyperspectral band selection using attention-based convolutional neural networks

PR Lorenzo, L Tulczyjew, M Marcinkiewicz… - IEEE …, 2020 - ieeexplore.ieee.org
Hyperspectral imaging has become a mature technology which brings exciting possibilities
in various domains, including satellite image analysis. However, the high dimensionality and …

Dimensionality reduction and classification of hyperspectral remote sensing image feature extraction

H Li, J Cui, X Zhang, Y Han, L Cao - Remote Sensing, 2022 - mdpi.com
Terrain classification is an important research direction in the field of remote sensing.
Hyperspectral remote sensing image data contain a large amount of rich ground object …

Effective feature extraction through segmentation-based folded-PCA for hyperspectral image classification

MP Uddin, MA Mamun, MA Hossain - International Journal of …, 2019 - Taylor & Francis
The remote sensing hyperspectral images (HSIs) usually comprise many important
information of the land covers capturing through a set of hundreds of narrow and contiguous …

Mutual information-driven feature reduction for hyperspectral image classification

MR Islam, B Ahmed, MA Hossain, MP Uddin - Sensors, 2023 - mdpi.com
A hyperspectral image (HSI), which contains a number of contiguous and narrow spectral
wavelength bands, is a valuable source of data for ground cover examinations …

NDVI based change detection in Sundarban Mangrove Forest using remote sensing data

SA Shimu, M Aktar, MI Afjal, AM Nitu… - 2019 4th …, 2019 - ieeexplore.ieee.org
As a global ecosystem, Sundarban mangrove forest plays a significant role by tackling
enormous CO 2, and other environmental impurities from air and water. It also protects …

Segmentation-based linear discriminant analysis with information theoretic feature selection for hyperspectral image classification

MI Afjal, MNI Mondal, MA Mamun - International Journal of Remote …, 2023 - Taylor & Francis
The use of hyperspectral imaging sensors has greatly improved the classification of remotely
sensed data because of the abundant spectral information they offer. However, the …

Land Cover Classification of Remote Sensing Images Based on Hierarchical Convolutional Recurrent Neural Network

X Fan, L Chen, X Xu, C Yan, J Fan, X Li - Forests, 2023 - mdpi.com
Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have gained
improved results in remote sensing image data classification. Multispectral image …