Results 21 to 30 of about 16,742 (260)

STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Images registration is an important task in hyperspectral image processing, while almost all local feature point based image matching algorithm is designed for single band image only and miss the advantage of abundant spectral information.
Z. Yan, Z. Wu
doaj   +1 more source

HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION USING FULLY CONSTRAINED NONLINEAR COUPLED NONNEGATIVE MATRIX FACTORIZATION

open access: yesICTACT Journal on Image and Video Processing, 2022
Hyperspectral images (HSI) have a wide range of spectral information compared to conventional images. This rich spectral information leads to store more information about the image.
K Priya, K K Rajkumar
doaj   +1 more source

Design and realization of a miniaturized high resolution computed tomography imaging spectrometer [PDF]

open access: yesEPJ Web of Conferences, 2022
The computed tomography imaging spectrometer (CTIS) is a relatively unknown snapshot hyperspectral camera. It utilizes computational imaging approaches to gain the hyperspectral image from a spatiospectral smeared sensor image.
Amann Simon   +4 more
doaj   +1 more source

Comparison analysis of spatial and spectral feature in vegetation classification based on AVIRIS hyperspectral image

open access: yes智慧农业, 2020
With the development of hyperspectral sensor technology and remote sensing data acquisition platform, the application of hyperspectral data is becoming more and more popular in precision agriculture.
Fu Yuanyuan   +7 more
doaj   +1 more source

Image Fusion for Spatial Enhancement of Hyperspectral Image via Pixel Group Based Non-Local Sparse Representation

open access: yesRemote Sensing, 2017
Restricted by technical and budget constraints, hyperspectral images (HSIs) are usually obtained with low spatial resolution. In order to improve the spatial resolution of a given hyperspectral image, a new spatial and spectral image fusion approach via ...
Jing Yang   +3 more
doaj   +1 more source

Discriminative Local Feature for Hyperspectral Hand Biometrics by Adjusting Image Acutance

open access: yesApplied Sciences, 2019
Image acutance or edge contrast in an image plays a crucial role in hyperspectral hand biometrics, especially in the local feature representation phase. However, the study of acutance in this application has not received a lot of attention. Therefore, in
Wei Nie, Bob Zhang, Shuping Zhao
doaj   +1 more source

Volume Holographic Hyperspectral Imaging [PDF]

open access: yesApplied 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

Quantitative Hyperspectral Reflectance Imaging [PDF]

open access: yesSensors, 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

COMPRESSIVE SENSING APPROACH TO HYPERSPECTRAL IMAGE COMPRESSION

open access: yesICTACT Journal on Image and Video Processing, 2018
Hyperspectral image (HSI) processing is one of the key processes in satellite imaging applications. Hyperspectral imaging spectrometers collect huge volumes of data since the image is captured across different wavelength bands in the electromagnetic ...
K S Gunasheela, H S Prasantha
doaj   +1 more source

Hyperspectral Remote Sensing Image Classification With CNN Based on Quantum Genetic-Optimized Sparse Representation

open access: yesIEEE Access, 2020
Due to the characteristics of the spectrum integration, information redundancy, spectrum mixing phenomenon and nonlinearity of the hyperspectral remote sensing images, it is a major challenging task to classify the hyperspectral remote sensing images ...
Huayue Chen, Fang Miao, Xu Shen
doaj   +1 more source

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