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Hyperspectral imaging

Nature Reviews Methods Primers
Hyperspectral imaging (HSI) is an advanced sensing modality that simultaneously captures spatial and spectral information, enabling non-invasive, label-free analysis of material, chemical, and biological properties. This Primer presents a comprehensive overview of HSI, from the underlying physical principles and sensor architectures to key steps in ...
Danfeng Hong, Chenyu Li, Naoto Yokoya, Bing Zhang, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jon Atli Benediktsson, Jocelyn Chanussot   +8 more
openaire   +3 more sources

Deep-Learning-Driven High-Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon-Limited Conditions. [PDF]

Adv Sci (Weinh)
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Li R, Wu S, Li K, An Z, Ben Y, Li G, Kumar S, Mcginty J, Hasan T, Fu S, Zhang M, Chen L.   +11 more
europepmc   +2 more sources

Illumination invariance and shadow compensation on hyperspectral images [PDF]

, 2014
To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core   +7 more sources

Effective classification of Chinese tea samples in hyperspectral imaging [PDF]

, 2013
Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang, Marshall, Stephen, Kelman, Timothy   +2 more
core   +4 more sources

Hyperspectral Pansharpening: A Review [PDF]

IEEE Geoscience and Remote Sensing Magazine, 2015
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literature for pansharpening using multispectral data.
Loncan L., De Almeida L. B., Bioucas-Dias J. M., Briottet X., Chanussot J., Dobigeon N., Fabre S., Liao W., Licciardi G. A., Simoes M., Tourneret J. -Y., Veganzones M. A., Vivone G., Wei Q., Yokoya N.   +14 more
openaire   +5 more sources

Mapping Invasive Aquatic Plants in Sentinel-2 Images Using Convolutional Neural Networks Trained With Spectral Indices

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Multispectral images collected by the European Space Agency's Sentinel-2 satellite offer a powerful resource for accurately and efficiently mapping areas affected by the distribution of invasive aquatic plants.
Elena Cristina Rodriguez-Garlito, Abel Paz-Gallardo, Antonio Plaza   +2 more
doaj   +1 more source

SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]

Earth System Science Data, 2022
The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang, Q. Yuan, T. Jin, M. Song, F. Sun   +4 more
doaj   +1 more source

Hyperspectral Subspace Identification [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2008
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage.
Bioucas-Dias, José M., Nascimento, Jose
openaire   +2 more sources

Analysis of Remotely Sensed Images Through Social Media

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
During the past decades, the volume of big data available in remote sensing (RS) applications has grown significantly. In addition, a number of applications related to monitoring human activity are being developed based on this kind of data.
Alejandro Redondo, Juan M. Haut, Mercedes E. Paoletti, Xuanwen Tao, Javier Plaza, Antonio Plaza   +5 more
doaj   +1 more source

Cathodoluminescence hyperspectral imaging on the nanometre scale [PDF]

, 2011
Extending cathodoluminescence microscopy into the hyperspectral imaging mode brings significant benefits to an already powerful nano-scale characterization tool.
Martin, Robert, Edwards, Paul, Wark, Alastair, Krishnan Jagadamma, Lethy   +3 more
core   +4 more sources