Compressive coded aperture spectral imaging: An introduction
Imaging spectroscopy involves the sensing of a large amount of spatial information across a
multitude of wavelengths. Conventional approaches to hyperspectral sensing scan adjacent …
multitude of wavelengths. Conventional approaches to hyperspectral sensing scan adjacent …
Hyperreconnet: Joint coded aperture optimization and image reconstruction for compressive hyperspectral imaging
Coded aperture snapshot spectral imaging (CASSI) system encodes the 3D hyperspectral
image (HSI) within a single 2D compressive image and then reconstructs the underlying HSI …
image (HSI) within a single 2D compressive image and then reconstructs the underlying HSI …
Higher-order computational model for coded aperture spectral imaging
Coded aperture snapshot spectral imaging systems (CASSI) sense the three-dimensional
spatio-spectral information of a scene using a single two-dimensional focal plane array …
spatio-spectral information of a scene using a single two-dimensional focal plane array …
[HTML][HTML] Aplicaciones y retos del sensado remoto hiperespectral en la geología colombiana
A Camacho-Velasco, CA Vargas-García… - Revista Facultad de …, 2015 - scielo.org.co
El Sensado Remoto (SR) es una técnica que permite captar información de una escena sin
entrar en contacto físico con ella, mediante el empleo de sensores ubicados …
entrar en contacto físico con ella, mediante el empleo de sensores ubicados …
High-accuracy image formation model for coded aperture snapshot spectral imaging
Coded aperture snapshot spectral imaging (CASSI) is based on the binary modulation of the
spatial-spectral scene, which allows for hyperspectral image reconstruction from 2D …
spatial-spectral scene, which allows for hyperspectral image reconstruction from 2D …
CTIS-Net: a neural network architecture for compressed learning based on computed tomography imaging spectrometers
C Douarre, CF Crispim-Junior… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The Computed Tomography Imaging Spectrometer (CTIS) permits a snapshot acquisition of
a hyperspectral cube, through the creation of an image of indirect measurements which is …
a hyperspectral cube, through the creation of an image of indirect measurements which is …
Spectral image classification from multi-sensor compressive measurements
JM Ramirez, H Arguello - IEEE Transactions on Geoscience …, 2019 - ieeexplore.ieee.org
Spectral image classification is an active research topic in remote sensing. In this sense,
various multi-sensor spectral image fusion algorithms have been recently evaluated via …
various multi-sensor spectral image fusion algorithms have been recently evaluated via …
Feature fusion via dual-resolution compressive measurement matrix analysis for spectral image classification
JM Ramirez, JIM Torre, H Arguello - Signal processing: image …, 2021 - Elsevier
In the compressive spectral imaging (CSI) framework, different architectures have been
proposed to recover high-resolution spectral images from compressive measurements …
proposed to recover high-resolution spectral images from compressive measurements …
Compressive hyperspectral image classification using a 3D coded convolutional neural network
H Zhang, X Ma, X Zhao, GR Arce - Optics Express, 2021 - opg.optica.org
Hyperspectral image classification (HIC) is an active research topic in remote sensing.
Hyperspectral images typically generate large data cubes posing big challenges in data …
Hyperspectral images typically generate large data cubes posing big challenges in data …
Adaptive multisensor acquisition via spatial contextual information for compressive spectral image classification
Spectral image classification uses the huge amount of information provided by spectral
images to identify objects in the scene of interest. In this sense, spectral images typically …
images to identify objects in the scene of interest. In this sense, spectral images typically …