Fusion of Various Band Selection Methods for Hyperspectral Imagery
Remote Sensing, 2019 This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang +3 more
doaj +1 more source
Quantum-inspired computational imaging [PDF]
, 2018 Computational imaging combines measurement and computational methods with the aim of forming images even when the measurement conditions are weak, few in number, or highly indirect.
Altmann, Yoann +5 more
core +2 more sources
Approximate Message Passing in Coded Aperture Snapshot Spectral Imaging [PDF]
, 2015 We consider a compressive hyperspectral imaging reconstruction problem, where three-dimensional spatio-spectral information about a scene is sensed by a coded aperture snapshot spectral imager (CASSI).
Arce, Gonzalo +4 more
core +1 more source
Method for coregistration of optical measurements of breast tissue with histopathology : the importance of accounting for tissue deformations [PDF]
, 2019 For the validation of optical diagnostic technologies, experimental results need to be benchmarked against the gold standard. Currently, the gold standard for tissue characterization is assessment of hematoxylin and eosin (H&E)-stained sections by a ...
de Boer, Lisanne L. +6 more
core +3 more sources
Mapping Materials and Dyes on Historic Tapestries Using Hyperspectral Imaging
Heritage, 2023 Hyperspectral imaging has emerged as a promising analytical method of artwork due to its potential in combining non-invasive analytical capabilities and imaging allowing the survey of the entire (or of a large area of the) surface of an artwork, which is
Constantina Vlachou-Mogire +3 more
doaj +1 more source
Time-Encoded Raman: Fiber-based, hyperspectral, broadband stimulated Raman microscopy [PDF]
, 2014 Raman sensing and Raman microscopy are amongst the most specific optical technologies to identify the chemical compounds of unknown samples, and to enable label-free biomedical imaging with molecular contrast.
Eibl, Matthias +4 more
core +2 more sources
Cathodoluminescence hyperspectral imaging of trench-like defects in InGaN/GaN quantum well structures [PDF]
, 2014 Optoelectronic devices based on the III-nitride system exhibit remarkably good optical efficiencies despite suffering from a large density of defects. In this work we use cathodoluminescence (CL) hyperspectral imaging to study InGaN/GaN multiple quantum ...
Bruckbauer, Jochen +7 more
core +1 more source
En-Decoded Index Guided Edge Refinement Network for Change Detection of Remote Sensing Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingChange detection (CD) aims to analyze pairs of remote sensing images (RSIs) that are captured at different times to identify valuable information regarding changes in land features, which plays a crucial role in the fields of urban planning ...
Chunyan Yu +4 more
doaj +1 more source
Compressive Hyperspectral Imaging Using Progressive Total Variation [PDF]
, 2014 Compressed Sensing (CS) is suitable for remote acquisition of hyperspectral images for earth observation, since it could exploit the strong spatial and spectral correlations, llowing to simplify the architecture of the onboard sensors. Solutions proposed
Barducci, Alessandro +4 more
core +2 more sources
Quantitative Hyperspectral Reflectance Imaging [PDF]
Sensors, 2008 Hyperspectral imaging is a non-destructive optical analysis technique that can for instance be used to obtain information from cultural heritage objects unavailable with conventional colour or multi-spectral photography. This technique can be used to distinguish and recognize materials, to enhance the visibility of faint or obscured features, to detect
Ted A.G. Steemers +4 more
openaire +3 more sources