Results 41 to 50 of about 19,235 (216)
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 +5 more
doaj +1 more source
Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection
Remote Sensing, 2021 Hyperspectral images (HSIs) often contain pixels with mixed spectra, which makes it difficult to accurately separate the background signal from the anomaly target signal.
Genping Zhao +4 more
doaj +1 more source
Further results on dissimilarity spaces for hyperspectral images RF-CBIR [PDF]
, 2013 Content-Based Image Retrieval (CBIR) systems are powerful search tools in image databases that have been little applied to hyperspectral images. Relevance feedback (RF) is an iterative process that uses machine learning techniques and user's feedback to ...
Datcu, Mihai +2 more
core +3 more sources
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 ...
Ozkan, Savas, Akar, Gozde Bozdagi
openaire +2 more sources
Egyptian Journal of Remote Sensing and Space SciencesHyperspectral 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
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 +5 more
doaj +1 more source
Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery [PDF]
, 2007 This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linear combinations of pure component spectra contaminated by an additive ...
Chein-i Chang +4 more
core +6 more sources
Multilayer Structured NMF for Spectral Unmixing of Hyperspectral Images
, 2015 One of the challenges in hyperspectral data analysis is the presence of mixed pixels. Mixed pixels are the result of low spatial resolution of hyperspectral sensors. Spectral unmixing methods decompose a mixed pixel into a set of endmembers and abundance
Ghassemian, Hassan, Rajabi, Roozbeh
core +1 more source
Two‐Dimensional Reconfigurable Photodiode for In‐Sensor Color Filtering and Spectral Logic
Advanced Materials, EarlyView.By harnessing the photodoping of different aggregates, the device exhibits wavelength‐dependent volatile‐to‐nonvolatile photoresponses that can be reconfigured via bias modulation. This enables in‐sensor color filtering and spectral‐encrypted information processing, eliminating reliance on external optical filters or post‐processing algorithms ...
Xiaokun Guo +7 more
wiley +1 more source
Remote Sensing, 2018 Spectral unmixing is a popular technique for hyperspectral data interpretation. It focuses on estimating the abundance of pure spectral signature (called as endmembers) in each observed image signature.
Xiangrong Zhang +6 more
doaj +1 more source