Results 61 to 70 of about 19,235 (216)

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Implementation strategies for hyperspectral unmixing using Bayesian source separation [PDF]

, 2010
Bayesian Positive Source Separation (BPSS) is a useful unsupervised approach for hyperspectral data unmixing, where numerical non-negativity of spectra and abundances has to be ensured, such in remote sensing.
Dobigeon, Nicolas, Guiheneuf, Mael, Moussaoui, Said, Schmidt, Albrecht, Schmidt, Frederic, Treguier, Erwan   +5 more
core   +6 more sources

Multiband Image Fusion Based on Spectral Unmixing [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2016
This paper presents a multi-band image fusion algorithm based on unsupervised spectral unmixing for combining a high-spatial low-spectral resolution image and a low-spatial high-spectral resolution image. The widely used linear observation model (with additive Gaussian noise) is combined with the linear spectral mixture model to form the likelihoods of
Wei, Qi, Bioucas-Dias, José M., Dobigeon, Nicolas, Tourneret, Jean-Yves, Chen, Marcus, Godsill, Simon   +5 more
openaire   +4 more sources

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Research on the Hyperspectral-based Unmixing Model of Composite Pigments on Mural Surfaces [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Murals constitute an invaluable component of cultural heritage, encapsulating profound artistic and historical significance. Hyperspectral remote sensing, as a non-destructive testing technique, offers an effective means for analysing and identifying ...
Y. Zhang, Y. Zhang, S. Lyu, S. Lyu, M. Hou, M. Hou, J. Guo, J. Yan, J. Yan   +8 more
doaj   +1 more source

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

, 2019
Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral imagery, CD technology has been greatly promoted, as hyperspectral data ...
Du, Qian, Fellow, Fellow, IEEE, IEEE, IEEE, Li, Xuelong, Member, Senior, Wang, Qi, Yuan, Zhenghang   +9 more
core   +1 more source

Non-convex regularization in remote sensing [PDF]

, 2016
In this paper, we study the effect of different regularizers and their implications in high dimensional image classification and sparse linear unmixing. Although kernelization or sparse methods are globally accepted solutions for processing data in high ...
Barlaud, Michel, Flamary, Remi, Tuia, Devis   +2 more
core   +4 more sources

Fluorescent Diarylethenes With Polar Groups: Synthesis, Spectra, and Optical Microscopy Applications

Chemistry – A European Journal, EarlyView.
Blinking green and flashing red: photo‐switchable and photo‐activatable probes emitting green and red light were prepared and applied as bioconjugates in super‐resolution optical microscopy. ABSTRACT The use of photoactivatable fluorescent diarylethenes (fDAEs) in biology‐related light microscopy has been restricted by the lack of probes having freely ...
Kakishi Uno, Sven Nagorny, Ayse Aktalay, Dojin Kim, Mariano L. Bossi, Vladimir N. Belov, Stefan W. Hell   +6 more
wiley   +1 more source

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Hyperspectral unmixing extracts pure spectral constituents (endmembers) and their corresponding abundance fractions from remotely sensed scenes. Most traditional hyperspectral unmixing methods require the results of other endmember extraction algorithms ...
Xuanwen Tao, Mercedes E. Paoletti, Lirong Han, Zhaoyue Wu, Peng Ren, Javier Plaza, Antonio Plaza, Juan M. Haut   +7 more
doaj   +1 more source

Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation [PDF]

, 2019
In recent years, many spatial and temporal satellite image fusion (STIF) methods have been developed to solve the problems of trade-off between spatial and temporal resolution of satellite sensors.
Chen, Xiuwan, Im, Jungho, Ke, Yinghai, Liu, Maolin, Yin, Qi   +4 more
core   +1 more source