Results 21 to 30 of about 255,777 (278)
Remote Sensing, 2021 Alaska has witnessed a significant increase in wildfire events in recent decades that have been linked to drier and warmer summers. Forest fuel maps play a vital role in wildfire management and risk assessment. Freely available multispectral datasets are
Anushree Badola +6 more
doaj +1 more source
A Spectral CT Method to Directly Estimate Basis Material Maps From Experimental Photon-Counting Data [PDF]
, 2017 The proposed spectral CT method solves the constrained one-step spectral CT reconstruction (cOSSCIR) optimization problem to estimate basis material maps while modeling the nonlinear X-ray detection process and enforcing convex constraints on the basis ...
Barber, Rina Foygel +2 more
core +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral compressed sensing (HCS) based on spectral unmixing technique has shown great reconstruction performance. In particular, the linear mixed model (LMM) has been widely used in HCS reconstruction.
Zhongliang Wang +5 more
doaj +1 more source
Design of CGAN Models for Multispectral Reconstruction in Remote Sensing
Remote Sensing, 2022 Multispectral imaging methods typically require cameras with dedicated sensors that make them expensive. In some cases, these sensors are not available or existing images are RGB, so the advantages of multispectral processing cannot be exploited.
Brais Rodríguez-Suárez +2 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
Semi-NMF-Based Reconstruction for Hyperspectral Compressed Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Hyperspectral compressed sensing (HCS) is a new imaging method that effectively reduces the power consumption of data acquisition. In this article, we present a novel HCS algorithm by incorporating spatial-spectral hybrid compressed sensing, followed by ...
Zhongliang Wang +5 more
doaj +1 more source
Spectral-phase interferometry for direct electric-field reconstruction applied to seeded extreme-ultraviolet free-electron lasers [PDF]
, 2015 We present a setup for complete characterization of femtosecond pulses generated by seeded free-electron lasers (FEL's) in the extreme-ultraviolet spectral region.
Dacasa, Hugo +8 more
core +3 more sources
Nonlocal Band Attention Network for Hyperspectral Image Band Selection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Band selection (BS) is a foundational problem for the analysis of high-dimensional hyperspectral image (HSI) cubes. Recent developments in the visual attention mechanism allow for specifically modeling the complex relationship among different components.
Tiancong Li +4 more
doaj +1 more source
Revista UIS Ingenierías, 2018 Spectral multiplexing sensors based on compressive sensing attempt to break the Nyquist barrier to acquire high spectral resolution scenes. Particularly, the colored coded aperture-based compressive spectral imager extended to video, or video C-CASSI, is
Kareth Marcela León-López +2 more
doaj +1 more source
A Snapshot Imaging Spectrometer Based on Uniformly Distributed-Slit Array (UDA)
Sensors, 2022 Herein, we propose a system for a snapshot video hyperspectral imaging method based on a uniformly distributed-slit array (UDA) coding plate that not only effectively improves the scanning speed of spectrometers but also achieves a high spectral fidelity
Yan Xu +5 more
doaj +1 more source