Results 11 to 20 of about 1,310 (131)

Sub-pixel Mapping Method based on Total Variation Minimization and Spectral Dictionary

, 2020
International audienceIn this paper we tackle the problem of data analysis over the higher dimensional space provided by hyperspectral images. Remote sensing data analysis is a complex task due to numerous factors such as the large spectral and spatial ...
Msellmi, Bouthayna, Zouhaier Ben Rabah, Rabah, Zouhaier Ben, Mauro Dalla Mura, Bouthayna Msellmi, Daniele Picone, Imed Riadh Farah, Picone, Daniele, Dalla Mura, Mauro, Farah, Imed Riadh   +9 more
core   +1 more source

Bayesian Subpixel Mapping Neural Network for Hyperspectral images

, 2023
Subpixel mapping (SPM) of a hyperspectral image (HSI) allocates land cover fractions or discrete abundances in original pixels, so that the resolution of the HSI label map becomes finer by dividing the mixed pixel to subpixels.
Wang, Yuxian, Clausi, David A, Fang, Yuan, Xu, Linlin   +3 more
core   +1 more source

Sub-Pixel Mapping Method Based on K-SVD Dictionary Learning and Total Variation Minimization

, 2020
International audienceSub-pixel mapping (SPM) denotes a category of image processing techniques that further enhance the results provided by spectral unmixing algorithms.
Msellmi, Bouthayna, Zouhaier Ben Rabah, Rabah, Zouhaier Ben, Mauro Dalla Mura, Bouthayna Msellmi, Daniele Picone, Imed Riadh Farah, Picone, Daniele, Dalla Mura, Mauro, Farah, Imed Riadh   +9 more
core   +1 more source

Combining Pixel Swapping and Simulated Annealing for Land Cover Mapping

, 2020
Mixed pixels commonly exist in low-resolution remote sensing images, and they are the key factors hindering the classification of land covers and high-precision mapping.
Yan Yuan, Yue Xu, Lijuan Su, Jingyi Yang
core   +1 more source

An evaluation of prospective motion correction (PMC) for high resolution quantitative MRI. [PDF]

, 2015
Quantitative imaging aims to provide in vivo neuroimaging biomarkers with high research and diagnostic value that are sensitive to underlying tissue microstructure.
Weiskopf, N, Weiskopf, N. ; https://orcid.org/, Josephs, O, Oliver Josephs, Herbst, M, Martina F. Callaghan, Zaitsev, M., Weiskopf, Nikolaus, Michael eHerbst, Martina F Callaghan, Nikolaus eWeiskopf, Zaitsev, M, Todd, N., Nick Todd, Herbst, M., Herbst, Michael, Maxim eZaitsev, Nikolaus Weiskopf, Michael Herbst, Callaghan, M., Nick eTodd, Maxim Zaitsev, Josephs, O., Callaghan, Martina F., Todd, Nick, Callaghan, MF, Josephs, Oliver, Todd, N, Oliver eJosephs, Zaitsev, Maxim   +29 more
core   +1 more source

Vectorial boundary-based sub-pixel mapping method for remote-sensing imagery

, 2014
National Natural Science Foundation of China 40971222 This article presents a vectorial boundary-based sub-pixel mapping (VBSPM) method to obtain the land-cover distribution with finer spatial resolution in mixed pixels.
Ge, Yong, Li, Sanping, Chen, Yuehong(陈跃红), Jiang, Yu   +3 more
core   +2 more sources

3D Visualization Technique for Occluded Objects in Integral Imaging Using Modified Smart Pixel Mapping

, 2017
In this paper, we propose a modified smart pixel mapping (SPM) to visualize occluded three-dimensional (3D) objects in real image fields. In integral imaging, orthoscopic real 3D images cannot be displayed because of lenslets and the converging light ...
Han, Jaeseung, Cho, Myungjin, 李, 旻哲, イ, ミンチョル, Lee, Min-Chul   +4 more
core   +2 more sources

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Deterministic Fiber‐Optic Spectral Engineering Enables Three‐Color Multiplexed Two‐Photon Microscopy

Laser &Photonics Reviews, EarlyView.
A simulation‐guided spectral‐engineering framework maps the nonlinear parameter space of a fiber laser platform to identify balanced three‐band excitation states. The resulting 960, 1080, and 1175 nm femtosecond pulses deliver nJ‐level energies for low‐cross‐talk chromatically multiplexed two‐photon microscopy.
Marvin Edelmann, Andreu Matamoros‐Angles, Mohsin Shafiq, Mikhail Pergament, Franz X. Kärtner, Markus Glatzel   +5 more
wiley   +1 more source

Brain tissue properties differentiate between motor and limbic basal ganglia circuits [PDF]

, 2014
Despite advances in understanding basic organizational principles of the human basal ganglia, accurate in vivo assessment of their anatomical properties is essential to improve early diagnosis in disorders with corticosubcortical pathology and optimize ...
Haynes, J., Weiskopf, N, Ettore A. Accolla, Dukart, J., Kherif, Ferath, Weiskopf, N. ; https://orcid.org/, Kuehn, Andrea A., Helms, Gunther, Gunther Helms, Weiskopf, Nikolaus, Rumana Chowdhury, John‐Dylan Haynes, Chowdhury, R., Dukart, Jürgen, Draganski, Bogdan, Stefan Hetzer, Hetzer, S, Kühn, Andrea A., Draganski, B. ; https://orcid.org/, Accolla, E., Haynes, John-Dylan, Ferath Kherif, Juergen Dukart, Kühn, AA, Accolla, Ettore A., Chowdhury, R, Andrea A. Kühn, Dukart, Juergen, Chowdhury, Rumana, Hetzer, Stefan, Antoine Lutti, Hetzer, S., Lutti, Antoine, Accolla, EA, Draganski, B, Helms, Gunther,, Nikolaus Weiskopf, Kühn, A., Bogdan Draganski, Kherif, F., Kherif, F, Helms, G., Helms, G, Lutti, A, Lutti, A., Lund University., Dukart, J, Haynes, J-D   +47 more
core   +1 more source