[HTML][HTML] Mutual information-driven feature reduction for hyperspectral image classification
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 …
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
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 …
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 …
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
Coastal ecosystems experience multiple anthropogenic and climate change pressures. To
monitor the variability of the benthic habitats in shallow waters, the implementation of …
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 …
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
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 …
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
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 …
adjacent bands, so it is necessary to find representative subsets before further analysis. To …
Feature reduction of hyperspectral image for classification
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 …
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) …
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
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 …
is to reward landowners based on their provision of 'public goods' while achieving the goals …