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Journal of Spectral Imaging
ISSN 2040-4565 · IM Publications Open · 92 artikel di indeks
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Artikel Jurnal
Reflectance spectra and AVIRIS-NG airborne hyperspectral data analysis for mapping ultramafic rocks in igneous terrain
The layered Sittampundi Anorthosite Complex is covered by mafic and ultramafic rocks including anorthosite, gabbro, pyroxenite and other igneous rocks. The ultramafic terrain has frequently undergone metamorphism. In the present study, laboratory spectral measurements were carried out from mafic…
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Artikel Jurnal
A comparison of common factor-based methods for hyperspectral image exploration: principal components analysis, maximum autocorrelation factors (MAF), minimum noise factors (MNF) and maximum difference factors (MDF)
Principal components analysis (PCA), maximum autocorrelation factors (MAF), minimum noise factors (MNF) and maximum difference factors (MDF) models are common factor-based models used for analysis of hyperspectral images. The models can be posed as maximisation problems that result in a symmetric…
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Artikel Jurnal
An outlook: machine learning in hyperspectral image classification and dimensionality reduction techniques
Hyperspectral imaging is used in a wide range of applications. When used in remote sensing, satellites and aircraft are employed to collect the images, which are used in agriculture, environmental monitoring, urban planning and defence. The exact classification of ground features in the images is a…
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Artikel Jurnal Teks lengkap
Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology
Moisture content and its distribution is a critical parameter in the production of cereal bars. Inappropriate control of this quality parameter can lead to non-conforming products and excess waste on production lines. In the field of hyperspectral imaging, the search for alternative light sources…
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Artikel Jurnal
Impact of water vapour on polymer classification using in situ short-wave infrared hyperspectral imaging
Hyperspectral remote sensing is known to suffer from wavelength bands blocked by atmospheric gases. Short-wave infrared hyperspectral imaging at in situ installations is shown to be affected by water vapour even if the pathlength of light through air is only hundreds of centimetres. This impact is…
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Artikel Jurnal
spectrai: a deep learning framework for spectral data
Spectroscopy and spectral imaging have widespread applications in many scientific fields. Deep learning techniques have achieved many successes in recent years across numerous domains. However, the application of deep learning to spectral data remains a complex task due to the need for tailored…
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Artikel Jurnal
A semi-supervised cycle-GAN neural network for hyperspectral image classification with minimum noise fraction
Hyperspectral imaging (HSI) is a popular mode of remote sensing imaging that collects data beyond the visible spectrum. Many classification techniques have been developed in recent years, since classification is the most crucial task in hyperspectral image processing. Furthermore, extracting…
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Artikel Jurnal
Hyperspectral image non-linear unmixing using joint extrinsic and intrinsic priors with L1/2-norms to non-negative matrix factorisation
Hyperspectral unmixing (HU) is one of the most active emerging areas in image processing that estimates the hyperspectral image’s endmember and abundance. HU enhances the quality of both spectral and spatial dimensions of the image by modifying the endmember and abundance parameters of the…
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Artikel Jurnal
Data processing of three-dimensional vibrational spectroscopic chemical images for pharmaceutical applications
Vibrational spectroscopic chemical imaging is a powerful tool in the pharmaceutical industry to assess the spatial distribution of components within pharmaceutical samples. Recently, the combination of vibrational spectroscopic chemical mapping with serial sectioning has provided a means to…
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Artikel Jurnal
1D conditional generative adversarial network for spectrum-to-spectrum translation of simulated chemical reflectance signatures
The classification of trace chemical residues through active spectroscopic sensing is challenging due to the lack of physics-based models that can accurately predict spectra. To overcome this challenge, we leveraged the field of domain adaptation to translate data from the simulated to the measured…
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Artikel Jurnal
Hyperspectral reflectance for non-invasive early detection of black shank disease in flue-cured tobacco
Flue-cured tobacco (Nicotiana tabacum L.) is a high value-per-acre crop that is intensively managed to optimise the yield of high-quality cured leaf. A 15-day study assessed the potential of hyperspectral reflectance data for detecting Phytophthora nicotianae (black shank) incidence in flue-cured…
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Artikel Jurnal
Estimation of strawberry firmness using hyperspectral imaging: a comparison of regression models
Firmness is one of the most important quality measures of strawberries, and is related to other aspects of the fruit, such as flavour, ripeness and internal characteristics. The most popular method for measuring firmness is puncturing with a penetrometer, which is destructive and time-consuming. In…
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Artikel Jurnal
Comparison of portable spectral imaging (443–726 nm) and RGB imaging for predicting poultry product “use-by” status through packaging film
The objective of this study is to compare portable visible spectral imaging (443–726 nm) and conventional RGB imaging for detecting products stored beyond the recommended “use-by” date and predicting the number of days poultry products have been stored. Packages of chicken thighs with skin on were…
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Artikel Jurnal
IDCube Lite: Free Interactive Discovery Cube software for multi and hyperspectral applications
Multi- and hyperspectral imaging modalities encompass a growing number of spectral techniques that find many applications in geospatial, biomedical, machine vision and other fields. The rapidly increasing number of applications requires convenient easy-to-navigate software that can be used by new…
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Artikel Jurnal
Prospective study for commercial and low-cost hyperspectral imaging systems to evaluate thermal tissue effect on bovine liver samples
Thermal ablation modalities, for example radiofrequency ablation (RFA) and microwave ablation, are intended to prompt controlled tumour removal by raising tissue temperature. However, monitoring the size of the resulting tissue damage during the thermal removal procedures is a challenging task. The…
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Artikel Jurnal
Detection and segmentation of erythrocytes in multispectral label-free blood smear images for automatic cell counting
In this work we propose an efficient approach to image segmentation for multispectral images of unstained blood films and automatic counting of erythrocytes. Our method takes advantage of Beer–Lambert’s law by using, first, a statistical standardisation equation applied to transmittance images…
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Artikel Jurnal
Applying spectral analysis for identification of alteration zones in north Saveh area, Iran
An extensive series of volcanic rocks are exposed in the north of Saveh city, Iran, which consist of phyllic, argillic and propylitic hydrothermal alteration types. For the purpose of the investigation, a FieldSpec3® spectroradiometer was used to measure the spectral response of the mineral content…
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Artikel Jurnal
Hyperspectral system trade-offs for illumination, hardware and analysis methods: a case study of seed mix ingredient discrimination
The discrimination power of a hyperspectral imaging system for image segmentation or object detection is determined by the illumination, the camera spatial–spectral resolution, and both the pre-processing and analysis methods used for image processing. In this study, we methodically reviewed the…
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Artikel Jurnal
Comprehensive review on land use/land cover change classification in remote sensing
Research in the field of remote sensing of the environment is valuable and informative. Hyperspectral (HSP) and multispectral (MSP) satellite images have been used for different remote sensing applications. Land Use/Land Cover (LU/LC) change classification has been considered as important research…
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Artikel Jurnal
Development of a multispectral microscopy platform using laser diode illumination for effective and automatic label-free Plasmodium falciparum detection
In this paper, we present the progress made in developing multimodal and multispectral light microscopy for label-free malaria diagnosis. Our previously developed light emitting diode (LED) illumination system was replaced by laser diodes as light sources in order to narrow the spectral bands and…