Results 31 to 40 of about 6,715,396 (288)
Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation
Remote Sensing, 2020 Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Haoyang Yu +5 more
doaj +1 more source
Fusion of Various Band Selection Methods for Hyperspectral Imagery
Remote Sensing, 2019 This paper presents an approach to band selection fusion (BSF) which fuses bands produced by a set of different band selection (BS) methods for a given number of bands to be selected, nBS.
Yulei Wang +3 more
doaj +1 more source
Deep learning classifiers for hyperspectral imaging: A review
, 2019 Advances in computing technology have fostered the development of new and powerful deep learning (DL) techniques, which have demonstrated promising results in a wide range of applications.
Mercedes Eugenia Paoletti +3 more
semanticscholar +1 more source
Mapping Materials and Dyes on Historic Tapestries Using Hyperspectral Imaging
Heritage, 2023 Hyperspectral imaging has emerged as a promising analytical method of artwork due to its potential in combining non-invasive analytical capabilities and imaging allowing the survey of the entire (or of a large area of the) surface of an artwork, which is
Constantina Vlachou-Mogire +3 more
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Hyperspectral imaging and its applications: A review
HeliyonHyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades.
Anuja Bhargava +5 more
semanticscholar +1 more source
Volume Holographic Hyperspectral Imaging [PDF]
Applied Optics, 2004 A volume hologram has two degenerate Bragg-phase-matching dimensions and provides the capability of volume holographic imaging. We demonstrate two volume holographic imaging architectures and investigate their imaging resolution, aberration, and sensitivity.
Wenhai, Liu +2 more
openaire +2 more sources
, 2020 In the past 20 years, hyperspectral imaging has been widely investigated as an emerging, promising technology for evaluating quality and safety of horticultural products. This technology has originated from remote sensing and joins the domains of machine
Yuzhen Lu +4 more
semanticscholar +1 more source
En-Decoded Index Guided Edge Refinement Network for Change Detection of Remote Sensing Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingChange detection (CD) aims to analyze pairs of remote sensing images (RSIs) that are captured at different times to identify valuable information regarding changes in land features, which plays a crucial role in the fields of urban planning ...
Chunyan Yu +4 more
doaj +1 more source
Frontiers in Bioengineering and Biotechnology, 2022 The study of brain science is vital to human health. The application of hyperspectral imaging in biomedical fields has grown dramatically in recent years due to their unique optical imaging method and multidimensional information acquisition ...
Yue Wu +5 more
doaj +1 more source
Quantitative Hyperspectral Reflectance Imaging [PDF]
Sensors, 2008 Hyperspectral imaging is a non-destructive optical analysis technique that can for instance be used to obtain information from cultural heritage objects unavailable with conventional colour or multi-spectral photography. This technique can be used to distinguish and recognize materials, to enhance the visibility of faint or obscured features, to detect
Ted A.G. Steemers +4 more
openaire +3 more sources