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Journal articles on the topic 'Hyper-(multi-)spectral'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Pande, H., Poonam S. Tiwari, and Shashi Dobhal. "Analyzing hyper-spectral and multi-spectral data fusion in spectral domain." Journal of the Indian Society of Remote Sensing 37, no. 3 (2009): 395–408. http://dx.doi.org/10.1007/s12524-009-0038-2.

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Zhu, Siqi, Kang Su, Migao Li, Zhenqiang Chen, Hao Yin, and Zhen Li. "Multi-type hyper-spectral microscopic imaging system." Optik 127, no. 18 (2016): 7218–24. http://dx.doi.org/10.1016/j.ijleo.2016.05.053.

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Berke, József, Zsolt Polgar, Zoltán Horváth, and Tamás Nagy. "Developing on Exact Quality and Classification System for Plant Improvement." JUCS - Journal of Universal Computer Science 12, no. (9) (2006): 1154–64. https://doi.org/10.3217/jucs-012-09-1154.

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On the field of potato research and breeding, there are several possibilities for the application of modern digital image processing and data collection/analysing techniques. One of the most obvious methods is the multi/hyper spectral analysis. In our experiments research were done in the visible as well as in the infra, near infra and thermal wavelength. For more advanced analysis we developed a multi/hyper-spectral analysis method (spectral fractal dimension measurement and application). In the following we summarize its basic elements and the developed integrated information system of potat

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Chatoux, Hermine, Noël Richard, and Bruno Mercier. "Colour key-point detection." London Imaging Meeting 2020, no. 1 (2020): 114–18. http://dx.doi.org/10.2352/issn.2694-118x.2020.lim-02.

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A lot of image processing tasks require key-point detection. If grey-level approach are numerous, colour and hyper-spectral ones are scarce. In this paper, we propose a generic key-point detection for colour, multi and hyper-spectral images. A new synthetic database is created to compare key-point detection approaches. Our method improves detection when the image complexity increases.

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Daigo, M., A. Ono†, R. Urabe‡, and N. Fujiwara. "Pattern decomposition method for hyper-multi-spectral data analysis." International Journal of Remote Sensing 25, no. 6 (2004): 1153–66. http://dx.doi.org/10.1080/0143116031000139872.

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Yoshikawa, H., M. Murahashi, M. Saito, S. Jiang, M. Iga, and E. Tamiya. "Parallelized label-free detection of protein interactions using a hyper-spectral imaging system." Analytical Methods 7, no. 12 (2015): 5157–61. http://dx.doi.org/10.1039/c5ay00738k.

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Awad, Mohamad M., and Marco Lauteri. "Self-Organizing Deep Learning (SO-UNet)—A Novel Framework to Classify Urban and Peri-Urban Forests." Sustainability 13, no. 10 (2021): 5548. http://dx.doi.org/10.3390/su13105548.

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Forest-type classification is a very complex and difficult subject. The complexity increases with urban and peri-urban forests because of the variety of features that exist in remote sensing images. The success of forest management that includes forest preservation depends strongly on the accuracy of forest-type classification. Several classification methods are used to map urban and peri-urban forests and to identify healthy and non-healthy ones. Some of these methods have shown success in the classification of forests where others failed. The successful methods used specific remote sensing d

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Salau, Ayodeji Olalekan, Shruti Jain, and Joy Nnenna Eneh. "A review of various image fusion types and transforms." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1515–22. https://doi.org/10.11591/ijeecs.v24.i3.pp1515-1522.

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Utilizing multiple views of an image is an important approach in digital photography, video editing, and medical image fusion applications. Image fusion (ImF) methods are used to improve an image's quality and remove noise from the image signal, resulting in a higher signal-to-noise ratio. A complete assessment of the literature on the different transform kinds, techniques, and rules utilized in ImF is presented in this paper. To assess the outcomes, a white flower image was fused using discrete wavelet transform (DWT) and discrete cosine transform (DCT) techniques. For validation of resul

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Mancini, Adriano, Emanuele Frontoni, and Primo Zingaretti. "Challenges of multi/hyper spectral images in precision agriculture applications." IOP Conference Series: Earth and Environmental Science 275 (May 21, 2019): 012001. http://dx.doi.org/10.1088/1755-1315/275/1/012001.

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10

Li, Jin, and Zilong Liu. "Compression of hyper-spectral images using an accelerated nonnegative tensor decomposition." Open Physics 15, no. 1 (2017): 992–96. http://dx.doi.org/10.1515/phys-2017-0123.

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AbstractNonnegative tensor Tucker decomposition (NTD) in a transform domain (e.g., 2D-DWT, etc) has been used in the compression of hyper-spectral images because it can remove redundancies between spectrum bands and also exploit spatial correlations of each band. However, the use of a NTD has a very high computational cost. In this paper, we propose a low complexity NTD-based compression method of hyper-spectral images. This method is based on a pair-wise multilevel grouping approach for the NTD to overcome its high computational cost. The proposed method has a low complexity under a slight de

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Sun, Li-wei, Xin Ye, Wei Fang, Zhen-lei He, Xiao-long Yi, and Yu-peng Wang. "Radiometric calibration of hyper-spectral imaging spectrometer based on optimizing multi-spectral band selection." Optoelectronics Letters 13, no. 6 (2017): 405–8. http://dx.doi.org/10.1007/s11801-017-7174-7.

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12

Zhang, Canting, Xicun Zhu, Meixuan Li, et al. "Utilization of the Fusion of Ground-Space Remote Sensing Data for Canopy Nitrogen Content Inversion in Apple Orchards." Horticulturae 9, no. 10 (2023): 1085. http://dx.doi.org/10.3390/horticulturae9101085.

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Utilizing multi-source remote sensing data fusion to achieve efficient and accurate monitoring of crop nitrogen content is crucial for precise crop management. In this study, an effective integrated method for inverting nitrogen content in apple orchard canopies was proposed based on the fusion of ground-space remote sensing data. Firstly, ground hyper-spectral data, unmanned aerial vehicles (UAVs) multi-spectral data, and apple leaf samples were collected from the apple tree canopy. Secondly, the canopy spectral information was extracted, and the hyper-spectral and UAV multi-spectral data wer

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Archambault, L., F. Theriault Proulx, S. Beddar, and L. Beaulieu. "PO-0807 FORMALISM FOR HYPER-SPECTRAL, MULTI-POINT, PLASTIC SCINTILLATION DETECTORS." Radiotherapy and Oncology 103 (May 2012): S313—S314. http://dx.doi.org/10.1016/s0167-8140(12)71140-4.

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ZHANG, Yuanfei, Zian YANG, Pubin ZHANG, Feifei SHI, and Jianguo ZHANG. "Research on Background-Anomaly Sub-space Model of Hyper (Multi-) spectral Data." Geo-information Science 11, no. 3 (2010): 282–91. http://dx.doi.org/10.3724/sp.j.1047.2009.00282.

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Dyson, Jack, Adriano Mancini, Emanuele Frontoni, and Primo Zingaretti. "Deep Learning for Soil and Crop Segmentation from Remotely Sensed Data." Remote Sensing 11, no. 16 (2019): 1859. http://dx.doi.org/10.3390/rs11161859.

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One of the most challenging problems in precision agriculture is to correctly identify and separate crops from the soil. Current precision farming algorithms based on artificially intelligent networks use multi-spectral or hyper-spectral data to derive radiometric indices that guide the operational management of agricultural complexes. Deep learning applications using these big data require sensitive filtering of raw data to effectively drive their hidden layer neural network architectures. Threshold techniques based on the normalized difference vegetation index (NDVI) or other similar metrics

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TANG Yan-hui, 唐艳慧, 赵鹏 ZHAO Peng, and 王承琨 WANG Cheng-kun. "Texture classification algorithm of wood hyper-spectral image based on multi-fractal spectra." Chinese Journal of Liquid Crystals and Displays 34, no. 12 (2019): 1182–90. http://dx.doi.org/10.3788/yjyxs20193412.1182.

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Esposito, Alessandro, Simon Schlachter, Arjen N. Bader, et al. "Multiplexed Measurement of Molecular Interactions using Hyper-Spectral Imaging and Multi-Parametric Detection." Biophysical Journal 98, no. 3 (2010): 761a. http://dx.doi.org/10.1016/j.bpj.2009.12.4179.

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Moshou, D., C. Bravo, R. Oberti, et al. "Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps." Real-Time Imaging 11, no. 2 (2005): 75–83. http://dx.doi.org/10.1016/j.rti.2005.03.003.

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Imanian, A., M. H. Tangestani, and A. Asadi. "INVESTIGATION OF SPECTRAL CHARACTERISTICS OF CARBONATE ROCKS – A CASE STUDY ON POSHT MOLEH MOUNT IN IRAN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 553–57. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-553-2019.

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Abstract. Recent developments in the image processing approaches and the availability of multi and/or hyper spectral remote sensing data with high spectral, spatial and temporal resolutions have made remote sensing technique of great interest in investigations of geological sciences. One of the biggest advantage of the application of remote sensing in geology is recognizing the type of unknown rocks and minerals. In this study, an investigation on spectral features of carbonate rocks (i.e. calcite, dolomite, and dolomitized calcite) were done in terms of main absorptions, the reasons of those

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Aiazzi, B., P. Alba, L. Alparone, and S. Baronti. "Lossless compression of multi/hyper-spectral imagery based on a 3-D fuzzy prediction." IEEE Transactions on Geoscience and Remote Sensing 37, no. 5 (1999): 2287–94. http://dx.doi.org/10.1109/36.789625.

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21

Mvodo Martin Paulin, Zanga, Koko Same Louis Christian, and Essiben Dikoundou Jean-François. "Linear precoder optimization of spectral efficiency of time division duplex hyper MIMO system with pilot contamination." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 3 (2023): 1520. http://dx.doi.org/10.11591/ijeecs.v29.i3.pp1520-1528.

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Our work is developed in context of studing Massive MIMO in a 5G context. The aim is to optimize spectral efficiency of several users hyper MIMO system during Uplink communication in a multi-cell contaminated pilot environment, using a new type of precoders called single cell-minimum mean square eroor (S-MMSE) and multicell-minimum mean square eroor (MMMSE). Indeed, we address two key and well-known issues of massive multiuser MIMO (MU-MIMO) environments in a test-driven development (TDD) operation scheme, namely acquisition of uplink channel state information (UL) and optimisation of the bit

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Zanga, Mvodo Martin Paulin, Same Louis Christian Koko, and Dikoundou Jean-François Essiben. "Linear precoder optimization of spectral efficiency of time division duplex hyper MIMO system with pilot contamination." Linear precoder optimization of spectral efficiency of time division duplex hyper MIMO system with pilot contamination 29, no. 3 (2023): 1520–28. https://doi.org/10.11591/ijeecs.v29.i3.pp1520-1528.

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Our work is developed in context of studing Massive MIMO in a 5G context. The aim is to optimize spectral efficiency of several users hyper MIMO system during Uplink communication in a multi-cell contaminated pilot environment, using a new type of precoders called single cell-minimum mean square eroor (S-MMSE) and multicell-minimum mean square eroor (MMMSE). Indeed, we address two key and well-known issues of massive multiuser MIMO (MU-MIMO) environments in a test-driven development (TDD) operation scheme, namely acquisition of uplink channel state information (UL) and optimisation of the bit

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23

Mr. B. Naga Rajesh. "Effective Morphological Transformation and Sub-pixel Classification of Clustered Images." International Journal of New Practices in Management and Engineering 8, no. 01 (2019): 08–14. http://dx.doi.org/10.17762/ijnpme.v8i01.74.

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The main aim of this research work is to perform the morphological operations with reduced time complexity and area complexity. Morphological operation is the key element in any image processing. Finding the maximum and minimum using a window of defined size will imply to the morphological dilation and erosion respectively. So the proposed algorithm should be fast in the comparison and sorting, this way the time complexity could be reduced. It’s believed that the anchor concept will fetch this cause. The idea behind this is it fixes a pixel and setting it as the center pixel all the surroundin

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Zhao, Xin, and Xing Li. "Band Selection Oriented to Easy-Confused Objects for Classification of Hyperspectral Imagery." Key Engineering Materials 500 (January 2012): 355–61. http://dx.doi.org/10.4028/www.scientific.net/kem.500.355.

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As a dimensionality reduction technique, band selection is an importance pre-processing step for classifiers. In this paper, a band selection approach oriented to easy-confused objects for classification of hyper spectral imagery is presented. Firstly, an Objects Confusion Index (OCI) is established to ascertain the easy-confused objects. Then the two band selection schemes, that are two-class mode and multi-class mode, are designed by adopting Bhattacharyya distance as class reparability measure.

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Marchal, Antoine, Marc-Antoine Miville-Deschênes, François Orieux, et al. "ROHSA: Regularized Optimization for Hyper-Spectral Analysis." Astronomy & Astrophysics 626 (June 2019): A101. http://dx.doi.org/10.1051/0004-6361/201935335.

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Context. Extracting the multiphase structure of the neutral interstellar medium is key to understanding star formation in galaxies. The radiative condensation of the diffuse warm neutral medium producing a thermally unstable lukewarm medium and a dense cold medium is closely related to the initial step leading the atomic-to-molecular (HI-to-H2) transition and the formation of molecular clouds. Up to now, the mapping of these phases out of 21 cm emission hyper-spectral cubes has remained elusive mostly due to the velocity blending of individual cold structures present on a given line of sight.

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El-Habashi, Ahmed, Jeffrey Bowles, Robert Foster, Deric Gray, and Malik Chami. "Polarized observations for advanced atmosphere-ocean algorithms using airborne multi-spectral hyper-angular polarimetric imager." Journal of Quantitative Spectroscopy and Radiative Transfer 262 (March 2021): 107515. http://dx.doi.org/10.1016/j.jqsrt.2021.107515.

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27

Borfecchia, Flavio, Carla Micheli, Luigi De Cecco, et al. "Satellite Multi/Hyper Spectral HR Sensors for Mapping the Posidonia oceanica in South Mediterranean Islands." Sustainability 13, no. 24 (2021): 13715. http://dx.doi.org/10.3390/su132413715.

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The Mediterranean basin is a hot spot of climate change where the Posidonia oceanica (L.) Delile (PO) and other seagrasses are under stress due to its effect on marine coastal habitats and the rising influence of anthropogenic activities (i.e., tourism, fishery). The PO and seabed ecosystems, in the coastal environments of Pantelleria and Lampedusa, suffer additional growing impacts from tourism in synergy with specific stress factors due to increasing vessel traffic for supplying potable water and fossil fuels for electrical power generation. Earth Observation (EO) data, provided by high reso

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Sarkar, Soham, Swagatam Das, and Sheli Sinha Chaudhuri. "Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution." Expert Systems with Applications 50 (May 2016): 120–29. http://dx.doi.org/10.1016/j.eswa.2015.11.016.

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Sun, Y., Y. Lin, X. Hu, et al. "THE STUDY OF SPECTRUM RECONSTRUCTION BASED ON FUZZY SET FULL CONSTRAINT AND MULTIENDMEMBER DECOMPOSITION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 551–55. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-551-2017.

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Hyperspectral imaging system can obtain spectral and spatial information simultaneously with bandwidth to the level of 10&amp;thinsp;nm or even less. Therefore, hyperspectral remote sensing has the ability to detect some kinds of objects which can not be detected in wide-band remote sensing, making it becoming one of the hottest spots in remote sensing. In this study, under conditions with a fuzzy set of full constraints, Normalized Multi-Endmember Decomposition Method (NMEDM) for vegetation, water, and soil was proposed to reconstruct hyperspectral data using a large number of high-qualit

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Zhou, Jing, Biwen Wang, Jiahao Fan, Yuchi Ma, Yi Wang, and Zhou Zhang. "A Systematic Study of Estimating Potato N Concentrations Using UAV-Based Hyper- and Multi-Spectral Imagery." Agronomy 12, no. 10 (2022): 2533. http://dx.doi.org/10.3390/agronomy12102533.

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Potato growth depends largely on nitrogen (N) availability in the soil. However, the shallow-root crop coupled with its common cultivation in coarse-textured soils leads to its poor N use efficiency. Fast and accurate estimations of potato tissue N concentrations are urgently needed to assist the decision making in precision fertilization management. Remote sensing has been utilized to evaluate the potato N status by correlating spectral information with lab tests on leaf N concentrations. In this study, a systematic comparison was conducted to quantitatively evaluate the performance of hypers

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Steddom, K., G. Heidel, D. Jones, and C. M. Rush. "Remote Detection of Rhizomania in Sugar Beets." Phytopathology® 93, no. 6 (2003): 720–26. http://dx.doi.org/10.1094/phyto.2003.93.6.720.

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As a prelude to remote sensing of rhizomania, hyper-spectral leaf reflectance and multi-spectral canopy reflectance were used to study the physiological differences between healthy sugar beets and beets infested with Beet necrotic yellow vein virus. This study was conducted over time in the presence of declining nitrogen levels. Total leaf nitrogen was significantly lower in symptomatic beets than in healthy beets. Chlorophyll and carotenoid levels were reduced in symptomatic beets. Vegetative indices calculated from leaf spectra showed reductions in chlorophyll and carotenoids in symptomatic

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32

Wei, Xing, Jinnuo Zhang, Anna O. Conrad, et al. "Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening." Artificial Intelligence in Agriculture 10 (December 2023): 26–34. http://dx.doi.org/10.1016/j.aiia.2023.09.003.

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Yang, Geng, Qin Li, Yu Yun, Yu Lei, and Jane You. "Hypergraph Learning-Based Semi-Supervised Multi-View Spectral Clustering." Electronics 12, no. 19 (2023): 4083. http://dx.doi.org/10.3390/electronics12194083.

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Graph-based semi-supervised multi-view clustering has demonstrated promising performance and gained significant attention due to its capability to handle sample spaces with arbitrary shapes. Nevertheless, the ordinary graph employed by most existing semi-supervised multi-view clustering methods only captures the pairwise relationships between samples, and cannot fully explore the higher-order information and complex structure among multiple sample points. Additionally, most existing methods do not make full use of the complementary information and spatial structure contained in multi-view data

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Zhang, L., Y. Zhong, B. Huang, and P. Li. "A resource limited artificial immune system algorithm for supervised classification of multi/hyper‐spectral remote sensing imagery." International Journal of Remote Sensing 28, no. 7 (2007): 1665–86. http://dx.doi.org/10.1080/01431160600675903.

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Kalidindi, Kishore Raju, Pardha Saradhi Varma Gottumukkala, and Rajyalakshmi Davuluri. "Derivative-based band clustering and multi-agent PSO optimization for optimal band selection of hyper-spectral images." Journal of Supercomputing 76, no. 8 (2019): 5873–98. http://dx.doi.org/10.1007/s11227-019-03058-3.

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Ferranti, Guglielmo, Chiara Rita Failla, Paolo Finocchiaro, et al. "A Multi-Parameter Persistence Algorithm for the Automatic Energy Calibration of Scintillating Radiation Sensors." Sensors 25, no. 15 (2025): 4579. https://doi.org/10.3390/s25154579.

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Peak detection is a fundamental task in spectral and time-series data analysis across diverse scientific and engineering disciplines, yet traditional approaches are highly sensitive to the choice of algorithm parameters, complicating reliable and consistent interpretation. Triggered by the requirement for the energy calibration for the 128 detectors of the PI3SO gamma ray scanner, we introduce a versatile methodology inspired by concepts from persistent homology, extending the traditional notion of persistence to a multi-parameter setting. Our approach systematically explores the space defined

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Xie, Busheng, Lixin Wu, Wenfei Mao, Shengyu Zhou, and Shanjun Liu. "An Open Integrated Rock Spectral Library (RockSL) for a Global Sharing and Matching Service." Minerals 12, no. 2 (2022): 118. http://dx.doi.org/10.3390/min12020118.

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Minerals and rocks are important natural resources that are formed over a long period of geological history. Spectroscopy is the basis of the identification and characterisation of rocks and minerals via proximal sensing in the field or remote sensing systems with multi- and hyper-spectral capabilities. However, spectral data is scattered around different institutions worldwide and stored in various formats, resulting in poor data usability and an unnecessary waste of time and information. To improve the usability and performance of mineral spectral data, we developed an integrated open minera

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Leroux, Denis, Florian Alonso, Tanguy Coent, et al. "Multispectral imaging for pathogen identification using a filter wheel and smartphone: A frugal innovation approach." EPJ Web of Conferences 287 (2023): 03017. http://dx.doi.org/10.1051/epjconf/202328703017.

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To create an affordable clinical test for use in more decentralized settings, we are developing a multispectral imaging system based on a filter wheel and a smartphone. Our application is the label-free identification of uropathogens from images of bacterial colonies directly on a non-chromogenic culture medium. Using feature selection techniques, we have previously shown through calculations, the possibility to move from hyper- to multi- spectral imaging by exploiting less than 8 spectral bands. Here, we confirm our findings by testing a database of true multispectral images acquired using a

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Palleschi, Vincenzo, Luciano Marras, and Maria Angela Turchetti. "Interesting Features Finder: A New Approach to Multispectral Image Analysis." Heritage 5, no. 4 (2022): 4089–99. http://dx.doi.org/10.3390/heritage5040211.

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In this paper, we discuss a new approach to the analysis of multi/hyper-spectral data sets, based on the Interesting Features Finder (IFF) method. The IFF is a simple algorithm recently proposed in the framework of Laser-Induced Breakdown Spectroscopy (LIBS) spectral analysis for detecting ‘interesting’ spectral features independently of the variance they represent in a set of spectra. To test the usefulness of this method to multispectral analysis, we show in this paper the results of its application on the recovery of a ‘lost’ painting from the Etruscan hypogeal tomb of the Volumni (3rd cent

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Bruni, Gabriele, Javier Moldón, Enrico Piconcelli, et al. "Radio WISSH: tuning on the most luminous quasars in the Universe." Proceedings of the International Astronomical Union 19, S378 (2023): 12–15. http://dx.doi.org/10.1017/s1743921323003575.

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AbstractIn the past years, the results obtained by the WISSH quasar project provided a novel general picture on the distinctive multi-band properties of hyper-luminous (Lbol > 1047 erg/s) quasars at high redshift (z ∼ 2-4), unveiling interesting relations among active galactic nuclei, winds and interstellar medium, in these powerful sources at cosmic noon. Since 2022, we are performing a systematic and statistically-significant VLA study of the radio properties of WISSH. We carried out high-resolution VLA observations aiming at: 1) identifying young radio source from the broad-band spectral

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Phinn, Stuart, Chris Roelfsema, Arnold Dekker, Vittoro Brando, and Janet Anstee. "Mapping seagrass species, cover and biomass in shallow waters: An assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia)." Remote Sensing of Environment 112, no. 8 (2008): 3413–25. http://dx.doi.org/10.1016/j.rse.2007.09.017.

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Mirzaie, M., R. Darvishzadeh, A. Shakiba, A. A. Matkan, C. Atzberger, and A. Skidmore. "Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements." International Journal of Applied Earth Observation and Geoinformation 26 (February 2014): 1–11. http://dx.doi.org/10.1016/j.jag.2013.04.004.

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43

Mallick, Bandana, Priyadarsan Parida, Chittaranjan Nayak, et al. "Secure real-time transmission of multi-spectral satellite images inducing a 6D hyper-chaotic system and BB84 QKD protocol." Alexandria Engineering Journal 122 (May 2025): 364–84. https://doi.org/10.1016/j.aej.2025.02.113.

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Adamopoulos, Efstathios, and Fulvio Rinaudo. "UAS-Based Archaeological Remote Sensing: Review, Meta-Analysis and State-of-the-Art." Drones 4, no. 3 (2020): 46. http://dx.doi.org/10.3390/drones4030046.

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Over the last decade, we have witnessed momentous technological developments in unmanned aircraft systems (UAS) and in lightweight sensors operating at various wavelengths, at and beyond the visible spectrum, which can be integrated with unmanned aerial platforms. These innovations have made feasible close-range and high-resolution remote sensing for numerous archaeological applications, including documentation, prospection, and monitoring bridging the gap between satellite, high-altitude airborne, and terrestrial sensing of historical sites and landscapes. In this article, we track the progre

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Malinee, Rachane, Dimitris Stratoulias, and Narissara Nuthammachot. "Detection of Oil Palm Disease in Plantations in Krabi Province, Thailand with High Spatial Resolution Satellite Imagery." Agriculture 11, no. 3 (2021): 251. http://dx.doi.org/10.3390/agriculture11030251.

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Oil palm (Elaeis guineensis) trees are an important contributor of recent economic development in Southeast Asia. The high product yield, and the consequent high profitability, has led to a widespread expansion of plantations in the greater region. However, oil palms are susceptible to diseases that can have a detrimental effect. In this study we use hyper- and multi-spectral remote sensing to detect diseased oil palm trees in Krabi province, Thailand. Proximate spectroscopic measurements were used to identify and discern differences in leaf spectral radiance; the results indicate a relatively

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Tan, Fei, Xiaoming Mo, Shiwei Ruan, et al. "Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes." Foods 12, no. 19 (2023): 3621. http://dx.doi.org/10.3390/foods12193621.

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Firmness, soluble solid content (SSC) and titratable acidity (TA) are characteristic substances for evaluating the quality of cherry tomatoes. In this paper, a hyper spectral imaging (HSI) system using visible/near-infrared (Vis-NIR) and near-infrared (NIR) was proposed to detect the key qualities of cherry tomatoes. The effects of individual spectral information and fused spectral information in the detection of different qualities were compared for firmness, SSC and TA of cherry tomatoes. Data layer fusion combined with multiple machine learning methods including principal component regressi

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John, C. M., and N. Kavya. "Integration of multispectral satellite and hyperspectral field data for aquatic macrophyte studies." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 581–88. http://dx.doi.org/10.5194/isprsarchives-xl-8-581-2014.

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Aquatic macrophytes (AM) can serve as useful indicators of water pollution along the littoral zones. The spectral signatures of various AM were investigated to determine whether species could be discriminated by remote sensing. In this study the spectral readings of different AM communities identified were done using the ASD Fieldspec® Hand Held spectro-radiometer in the wavelength range of 325–1075 nm. The collected specific reflectance spectra were applied to space borne multi-spectral remote sensing data from Worldview-2, acquired on 26th March 2011. The dimensionality reduction of the spec

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Laureti, Stefano, Hamed Malekmohammadi, Muhammad Khalid Rizwan, et al. "Looking Through Paintings by Combining Hyper-Spectral Imaging and Pulse-Compression Thermography." Sensors 19, no. 19 (2019): 4335. http://dx.doi.org/10.3390/s19194335.

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The use of different spectral bands in the inspection of artworks is highly recommended to identify the maximum number of defects/anomalies (i.e., the targets), whose presence ought to be known before any possible restoration action. Although an artwork cannot be considered as a composite material in which the zero-defect theory is usually followed by scientists, it is possible to state that the preservation of a multi-layered structure fabricated by the artist’s hands is based on a methodological analysis, where the use of non-destructive testing methods is highly desirable. In this paper, th

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Sun, Changli, and Jiangang Lu. "Effect of Sectional Polymerization Process on Tunable Twist Structure Liquid Crystal Filters." Crystals 9, no. 5 (2019): 268. http://dx.doi.org/10.3390/cryst9050268.

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The effect of sectional polymerization process on tunable filters with cholesteric liquid crystal (CLC) and blue phase liquid crystal (BPLC) is demonstrated. The bandwidths of the polymer-stabilized cholesteric liquid crystal (PSCLC) and polymer-stabilized blue phase liquid crystal (PSBPLC) filters can be broadened by the holding treatment without distortion. The reflection bandwidth of the CLC filter can be broadened from 120 nm to 220 nm, and that of the BPLC filter can be broadened from 45 nm to 140 nm. Meanwhile, the intensity of reflection can be retained very well. The central wavelength

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Lane, David W., Antony Nyombi, and James Shackel. "Energy-dispersive X-ray diffraction mapping on a benchtop X-ray fluorescence system." Journal of Applied Crystallography 47, no. 2 (2014): 488–94. http://dx.doi.org/10.1107/s1600576714000314.

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A method for energy-dispersive X-ray diffraction mapping is presented, using a conventional low-power benchtop X-ray fluorescence spectrometer, the Seiko Instruments SEA6000VX. Hyper spectral X-ray maps with a 10 µm step size were collected from polished metal surfaces, sectioned Bi, Pb and steel shot gun pellets. Candidate diffraction lines were identified by eliminating those that matched a characteristic line for an element and those predicted for escape peaks, sum peaks, and Rayleigh and Compton scattered primary X-rays. The maps showed that the crystallites in the Bi pellet were larger th

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