Survey of hyperspectral earth observation applications from space in the sentinel-2 context
In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …
Observation (EO) remote sensing techniques, analysis and applications. While …
Remote detection of invasive plants: a review of spectral, textural and phenological approaches
BA Bradley - Biological invasions, 2014 - Springer
Remote sensing image analysis is increasingly being used as a tool for mapping invasive
plant species. Resulting distribution maps can be used to target management of early …
plant species. Resulting distribution maps can be used to target management of early …
Multispectral and hyperspectral image fusion in remote sensing: A survey
G Vivone - Information Fusion, 2023 - Elsevier
The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the
spotlight. The combination of high spatial resolution MS images with HS data showing a …
spotlight. The combination of high spatial resolution MS images with HS data showing a …
Deep pyramidal residual networks for spectral–spatial hyperspectral image classification
ME Paoletti, JM Haut… - … on Geoscience and …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) exhibit good performance in image processing tasks,
pointing themselves as the current state-of-the-art of deep learning methods. However, the …
pointing themselves as the current state-of-the-art of deep learning methods. However, the …
Visual attention-driven hyperspectral image classification
Deep neural networks (DNNs), including convolutional neural networks (CNNs) and
residual networks (ResNets) models, are able to learn abstract representations from the …
residual networks (ResNets) models, are able to learn abstract representations from the …
Decomposition in tropical forests: a pan‐tropical study of the effects of litter type, litter placement and mesofaunal exclusion across a precipitation gradient
Summary 1 Litter decomposition recycles nutrients and causes large fluxes of carbon
dioxide into the atmosphere. It is typically assumed that climate, litter quality and …
dioxide into the atmosphere. It is typically assumed that climate, litter quality and …
Hyperspectral image super-resolution meets deep learning: A survey and perspective
Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
Benefits of hyperspectral remote sensing for tracking plant invasions
Aim We aim to report what hyperspectral remote sensing can offer for invasion ecologists
and review recent progress made in plant invasion research using hyperspectral remote …
and review recent progress made in plant invasion research using hyperspectral remote …
Monitoring invasive plant species using hyperspectral remote sensing data
The species richness and biodiversity of vegetation in Hungary are increasingly threatened
by invasive plant species brought in from other continents and foreign ecosystems. These …
by invasive plant species brought in from other continents and foreign ecosystems. These …
Pattern to process, research to practice: remote sensing of plant invasions
Processes that drive plant invasions play out across multiple spatial and temporal scales.
Understanding individual steps along the introduction-naturalization-invasion continuum …
Understanding individual steps along the introduction-naturalization-invasion continuum …