Articles with "hyperspectral images" as a keyword



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Class-adapted local fisher discriminant analysis to reduce highly-dimensioned data on commodity hardware: application to hyperspectral images

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6887-3

Abstract: Local Fisher Discriminant Analysis (LFDA) is a supervised feature extraction technique that proved to be efficient in reducing several types of data. However, it depends on the number of samples per class in a way… read more here.

Keywords: local fisher; class; fisher discriminant; hyperspectral images ... See more keywords
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Superpixel based recursive least-squares method for lossless compression of hyperspectral images

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Published in 2019 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-018-0590-4

Abstract: AbstractFiltering based compression methods have become a popular research topic in lossless compression of hyperspectral images. Recursive least squares (RLS) based prediction methods provide better decorrelation performance among the filtering based methods. In this paper,… read more here.

Keywords: recursive least; compression; hyperspectral images; compression hyperspectral ... See more keywords
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Classification of hyperspectral images by deep learning of spectral-spatial features

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Published in 2020 at "Arabian Journal of Geosciences"

DOI: 10.1007/s12517-020-05487-4

Abstract: Creating accurate land use and land cover maps using remote sensing images is one of the most important applications of remotely sensed data. Abundant spectral information in hyperspectral images (HSI) makes it possible to distinguish… read more here.

Keywords: feature; spectral spatial; classification hyperspectral; spatial features ... See more keywords
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Distributed Source Coding of Hyperspectral Images Based on Three-Dimensional Wavelet

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Published in 2018 at "Journal of the Indian Society of Remote Sensing"

DOI: 10.1007/s12524-017-0735-1

Abstract: Abstract To reduce the possibility of poor efficiency and weak anti-error capability while encoding and transmitting hyperspectral images, we present a distributed source coding scheme for hyperspectral images based on three-dimensional (3D) set partitioning in… read more here.

Keywords: three dimensional; images based; based three; source coding ... See more keywords
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A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning

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Published in 2019 at "Journal of the Indian Society of Remote Sensing"

DOI: 10.1007/s12524-019-01021-6

Abstract: The rapid development of advanced remote sensing technology with multichannel imaging sensors has increased its potential opportunity in the utilization of hyperspectral data for various applications. For supervised classification of hyperspectral data, obtaining suitable training… read more here.

Keywords: machine; classification; kernel based; classification hyperspectral ... See more keywords
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Joint selection of essential pixels and essential variables across hyperspectral images.

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Published in 2021 at "Analytica chimica acta"

DOI: 10.1016/j.aca.2020.10.040

Abstract: An approach is proposed and illustrated for the joint selection of essential samples and essential variables of a data matrix in the frame of spectral unmixing. These essential features carry the signals required to linearly… read more here.

Keywords: reduced data; joint selection; essential variables; hyperspectral images ... See more keywords
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An ADMM-based algorithm with minimum dispersion regularization for on-line blind unmixing of hyperspectral images

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Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"

DOI: 10.1016/j.chemolab.2020.104090

Abstract: Pushbroom imaging systems are emerging techniques for real-time acquisition of hyperspectral images. These systems are frequently used in industrial applications to control and sort products on-the-fly. In this paper, the on-line hyperspectral image blind unmixing… read more here.

Keywords: line; dispersion regularization; blind unmixing; admm based ... See more keywords
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Evaluating visible derivative spectroscopy by varimax-rotated, principal component analysis of aerial hyperspectral images from the western basin of Lake Erie

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Published in 2019 at "Journal of Great Lakes Research"

DOI: 10.1016/j.jglr.2019.03.005

Abstract: Abstract The Kent State University (KSU) spectral decomposition method provides information about the spectral signals present in multispectral and hyperspectral images. Pre-processing steps that enhance signal to noise ratio (SNR) by 7.37–19.04 times, enables extraction… read more here.

Keywords: spectroscopy; hyperspectral images; visible derivative; spectroscopy varimax ... See more keywords
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Projection pursuit and PCA associated with near and middle infrared hyperspectral images to investigate forensic cases of fraudulent documents

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Published in 2017 at "Microchemical Journal"

DOI: 10.1016/j.microc.2016.10.024

Abstract: Abstract In forensic examination of questioned documents a type of casework often encountered are the frauds that occur by mean of addition and adulteration of parts of text or numbers on document. The goal of… read more here.

Keywords: analysis; fraudulent documents; pca; projection pursuit ... See more keywords
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Quantitative detection of turbid media components using textural features extracted from hyperspectral images

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Published in 2019 at "Microchemical Journal"

DOI: 10.1016/j.microc.2019.104009

Abstract: Abstract The accuracy of component detection of turbid media can be difficult to improve due to the mutual influence of scattering and absorption in light attenuation. In this study, a heteromorphic sample pool was introduced… read more here.

Keywords: textural features; detection turbid; hyperspectral images; turbid media ... See more keywords
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Landmine detection in hyperspectral images based on pixel intensity

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Published in 2021 at "Remote Sensing Applications: Society and Environment"

DOI: 10.1016/j.rsase.2021.100468

Abstract: Abstract Hyperspectral imaging is a technique used to collect the same scene with different wavelengths, achieving both high spectral and spatial resolution. Hyperspectral imaging plays an important role in several scenarios involving target detection, among… read more here.

Keywords: based pixel; images based; hyperspectral images; detection hyperspectral ... See more keywords