[HTML][HTML] 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 …

[HTML][HTML] A principal component analysis methodology of oil spill detection and monitoring using satellite remote sensing sensors

N Arslan, M Majidi Nezhad, A Heydari… - Remote Sensing, 2023 - mdpi.com
Monitoring, assessing, and measuring oil spills is essential in protecting the marine
environment and in efforts to clean oil spills. One of the most recent oil spills happened near …

[HTML][HTML] Analyses of the impact of soil conditions and soil degradation on vegetation vitality and crop productivity based on airborne hyperspectral VNIR–SWIR–TIR …

R Milewski, T Schmid, S Chabrillat, M Jiménez… - Remote Sensing, 2022 - mdpi.com
Soils are an essential factor contributing to the agricultural production of rainfed crops such
as barley and triticale cereals. Changing environmental conditions and inadequate land …

[HTML][HTML] Seabed mapping in coastal shallow waters using high resolution multispectral and hyperspectral imagery

J Marcello, F Eugenio, J Martín, F Marqués - Remote Sensing, 2018 - mdpi.com
Coastal ecosystems experience multiple anthropogenic and climate change pressures. To
monitor the variability of the benthic habitats in shallow waters, the implementation of …

Mining painted cultural relic patterns based on principal component images selection and image fusion of hyperspectral images

J Peng, K Yu, J Wang, Q Zhang, L Wang… - Journal of Cultural Heritage, 2019 - Elsevier
Because painted cultural relics are fragile and precious, traditional methods aren't suitable
for analyzing them. A new domain is proposed to resolve this question: hyperspectral …

[HTML][HTML] Tree species composition mapping with dimension reduction and post-classification using very high-resolution hyperspectral imaging

SB Likó, L Bekő, P Burai, IJ Holb, S Szabó - Scientific Reports, 2022 - nature.com
Tree species' composition of forests is essential in forest management and nature
conservation. We aimed to identify the tree species structure of a floodplain forest area using …

[HTML][HTML] An efficient clustering method for hyperspectral optimal band selection via shared nearest neighbor

Q Li, Q Wang, X Li - Remote Sensing, 2019 - mdpi.com
A hyperspectral image (HSI) has many bands, which leads to high correlation between
adjacent bands, so it is necessary to find representative subsets before further analysis. To …

Feature reduction of hyperspectral image for classification

R Islam, B Ahmed, A Hossain - Journal of Spatial Science, 2022 - Taylor & Francis
Informative feature extraction from hyperspectral image (HSI) is the primary and most
challenging task in the hyperspectral data processing. The rich source of HSI information …

[HTML][HTML] Unmixing noisy co-registered spectrum images of multicomponent nanostructures

N Braidy, R Gosselin - Scientific reports, 2019 - nature.com
Analytical electron microscopy plays a key role in the development of novel nanomaterials.
Electron energy-loss spectroscopy (EELS) and energy-dispersive X-ray spectroscopy (EDX) …

[HTML][HTML] Earth observation for monitoring, reporting, and verification within environmental land management policy

A Andries, RJ Murphy, S Morse, J Lynch - Sustainability, 2021 - mdpi.com
The main aim of the new agricultural scheme, Environmental Land Management, in England
is to reward landowners based on their provision of 'public goods' while achieving the goals …