Results 51 to 60 of about 871,644 (244)

A cascaded autoencoder unmixing network for Hyperspectral anomaly detection

International Journal of Applied Earth Observations and Geoinformation
Hyperspectral anomaly detection (HAD) is challenging especially when anomalies are presented in sub-pixel form.The spectral signatures of anomalies in mixed pixels are mixed with those of background, making anomalies difficult to be distinguished from ...
Kun Li, Yingqian Wang, Qiang Ling, Yaoming Cai, Yao Qin   +4 more
doaj   +1 more source

Spectral Unmixing of Multispectral Lidar Signals

IEEE Transactions on Signal Processing, 2015
In this paper, we present a Bayesian approach for spectral unmixing of multispectral Lidar (MSL) data associated with surface reflection from targeted surfaces composed of several known materials. The problem addressed is the estimation of the positions and area distribution of each material.
Yoann Altmann, Andrew M. Wallace, Steve McLaughlin 0001   +2 more
openaire   +3 more sources

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

, 2010
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. Moreover, it is sensible to impose a sum-to-one (full
Moussaoui, Saïd, Schmidt, Albrecht, Tréguier, Erwan, Maël Guiheneuf, Guiheneuf, Maël, Saïd Moussaoui, Erwan Treguier, Albrecht Schmidt, Nicolas Dobigeon, Dobigeon, Nicolas, Frédéric Schmidt, Schmidt, Frédéric   +11 more
core   +1 more source

Deep multimodal unmixing of hyperspectral images using Convolutional Block Attention Module (CBAM) and LiDAR features

Egyptian Journal of Remote Sensing and Space Sciences
Hyperspectral image unmixing has garnered considerable attention across various application domains, particularly remote sensing applications. However, relying solely on one modality to distinguish objects with similar spectral information presents ...
M Sreejam, L Agilandeeswari
doaj   +1 more source

Montmorillonite Estimation in Clay–Quartz–Calcite Samples from Laboratory SWIR Imaging Spectroscopy: A Comparative Study of Spectral Preprocessings and Unmixing Methods

Remote Sensing, 2020
Clay minerals play an important role in shrinking–swelling of soils and off–road vehicle mobility mainly due to the presence of smectites including montmorillonites.
Etienne Ducasse, Karine Adeline, Xavier Briottet, Audrey Hohmann, Anne Bourguignon, Gilles Grandjean   +5 more
doaj   +1 more source

Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images [PDF]

IEEE Transactions on Image Processing, 2016
In this paper, we consider the problem of unmixing a time series of hyperspectral images. We propose a dynamical model based on linear mixing processes at each time instant. The spectral signatures and fractional abundances of the pure materials in the scene are seen as latent variables, and assumed to follow a general dynamical structure.
Henrot, Simon, Chanussot, Jocelyn, Jutten, Christian   +2 more
openaire   +5 more sources

Spectral unmixing: analysis of performance in the olfactory bulb in vivo. [PDF]

PLoS ONE, 2009
BACKGROUND: The generation of transgenic mice expressing combinations of fluorescent proteins has greatly aided the reporting of activity and identification of specific neuronal populations. Methods capable of separating multiple overlapping fluorescence
Mathieu Ducros, Laurent Moreaux, Jonathan Bradley, Pascale Tiret, Oliver Griesbeck, Serge Charpak   +5 more
doaj   +1 more source

Spectral-Spatial Constrained Nonnegative Matrix Factorization for Spectral Mixture Analysis of Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Hyperspectral spectral mixture analysis (SMA), which intends to decompose mixed pixels into a collection of endmembers weighted by their corresponding fraction abundances, has been successfully used to tackle mixed-pixel problem in hyperspectral remote ...
Ge Zhang, Shaohui Mei, Yan Feng, Qian Du
doaj   +1 more source

Deep Spectral Convolution Network for Hyperspectral Unmixing [PDF]

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
In this paper, we propose a novel hyperspectral unmixing technique based on deep spectral convolution networks (DSCN). Particularly, three important contributions are presented throughout this paper. First, fully-connected linear operation is replaced with spectral convolutions to extract local spectral characteristics from hyperspectral signatures ...
Savas Özkan, Gozde Bozdagi Akar
openaire   +4 more sources

Arterial Blood‐Mediated Deep‐Tissue Photoacoustic Oximetry

Advanced Science, EarlyView.
The arterial prior method (APM+) for photoacoustic oximetry is introduced, which leverages the high arterial blood oxygenation to calibrate the fluence at the artery and estimate the oxygenation of the surrounding tissue, thus circumventing the spectral coloring problem. APM+’s accuracy and consistency are shown in a series of phantom and in vivo human
Karteekeya Sastry, Junhao Zhu, Joshua Olick‐Gibson, Li Lin, Lei Li, Jigmi Basumatary, Yang Zhang, Lihong V. Wang   +7 more
wiley   +1 more source