Cargando…
Scaling-Based Two-Step Reconstruction in Full Polarization-Compressed Hyperspectral Imaging
Polarized hyperspectral images can reflect the rich physicochemical characteristics of targets. Meanwhile, the contained plentiful information also brings great challenges to signal processing. Although compressive sensing theory provides a good idea for image processing, the simplified compression...
Autores principales: | Fan, Axin, Xu, Tingfa, Wang, Xi, Xu, Chang, Zhang, Yuhan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764605/ https://www.ncbi.nlm.nih.gov/pubmed/33322543 http://dx.doi.org/10.3390/s20247120 |
Ejemplares similares
-
Full-Stokes polarization multispectral images of various stereoscopic objects
por: Fan, Axin, et al.
Publicado: (2023) -
Polarizer-Free AOTF-Based SWIR Hyperspectral Imaging for Biomedical Applications
por: Batshev, Vladislav, et al.
Publicado: (2020) -
Deep Learning in Medical Hyperspectral Images: A Review
por: Cui, Rong, et al.
Publicado: (2022) -
Directly Estimating Endmembers for Compressive Hyperspectral Images
por: Xu, Hongwei, et al.
Publicado: (2015) -
Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data
por: Xu, Ping, et al.
Publicado: (2017)