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Journal articles on the topic 'Hyperspectral imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

V, Prathama, and Dr Thippeswamy G. "Food Safety Control Using Hyperspectral Imaging." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 796–806. http://dx.doi.org/10.31142/ijtsrd10983.

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2

Müller-Rowold, M., and R. Reulke. "HYPERSPECTRAL PANORAMIC IMAGING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 323–28. http://dx.doi.org/10.5194/isprs-archives-xlii-1-323-2018.

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<p><strong>Abstract.</strong> Hyperspectral instruments are designed for the characterisation of planetary surfaces, oceans and the atmosphere. At the moment there are a number of aircraft systems and planned space missions. Examples for this are the hyperspectral missions for Earth remote sensing (EnMAP) and also for deep space and planetary missions (Mercury mission Bepi Colombo).</p><p>There are basically two options for a hyperspectral system: Snapshot systems and scanning systems. This paper investigates a scanning hyperspectral push-broom systems. In most sy

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3

Bhargava, Rohit, and Kianoush Falahkheirkhah. "Enhancing hyperspectral imaging." Nature Machine Intelligence 3, no. 4 (2021): 279–80. http://dx.doi.org/10.1038/s42256-021-00336-9.

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4

Pitruzzello, Giampaolo. "Broadband hyperspectral imaging." Nature Photonics 19, no. 1 (2025): 11. https://doi.org/10.1038/s41566-024-01597-7.

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5

Lu, Bing, Phuong D. Dao, Jiangui Liu, Yuhong He, and Jiali Shang. "Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture." Remote Sensing 12, no. 16 (2020): 2659. http://dx.doi.org/10.3390/rs12162659.

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Remote sensing is a useful tool for monitoring spatio-temporal variations of crop morphological and physiological status and supporting practices in precision farming. In comparison with multispectral imaging, hyperspectral imaging is a more advanced technique that is capable of acquiring a detailed spectral response of target features. Due to limited accessibility outside of the scientific community, hyperspectral images have not been widely used in precision agriculture. In recent years, different mini-sized and low-cost airborne hyperspectral sensors (e.g., Headwall Micro-Hyperspec, Cubert

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Rui Zhou, Rui Zhou, Manping Ye Manping Ye, and Huacai Chen Huacai Chen. "Apple bruise detect with hyperspectral imaging technique." Chinese Optics Letters 12, s1 (2014): S11101–311103. http://dx.doi.org/10.3788/col201412.s11101.

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Changsheng Liu, Changsheng Liu, Zhimin Han Zhimin Han, and Tianyu Xie Tianyu Xie. "Hyperspectral high-dynamic-range endoscopic mucosal imaging." Chinese Optics Letters 13, no. 7 (2015): 071701–71705. http://dx.doi.org/10.3788/col201513.071701.

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8

Li, Yang, Yucheng Wei, Jiankang Zhou, and Juncheng Jia. "Research on design and implementation of high precision imaging colorimeter system." Highlights in Science, Engineering and Technology 120 (December 25, 2024): 807–13. https://doi.org/10.54097/tkfj7e02.

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As an important parameter to characterize the apparent characteristics of objects, color plays an irreplaceable role in various fields. With the increasing demand for color quality, special color detection instruments are needed to measure color quickly and accurately. However, the current traditional color measuring instrument has some limitations, it is difficult to accurately measure the color of a certain part of the complex pattern, and it is very easy to miss the image information of the object surface.With the continuous development of machine vision technology and spectrum technology,

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Wang, Zhixin, Peng Xu, Bohan Liu, Yankun Cao, Zhi Liu, and Zhaojun Liu. "Hyperspectral imaging for underwater object detection." Sensor Review 41, no. 2 (2021): 176–91. http://dx.doi.org/10.1108/sr-07-2020-0165.

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Purpose This paper aims to demonstrate the principle and practical applications of hyperspectral object detection, carry out the problem we now face and the possible solution. Also some challenges in this field are discussed. Design/methodology/approach First, the paper summarized the current research status of the hyperspectral techniques. Then, the paper demonstrated the development of underwater hyperspectral techniques from three major aspects, which are UHI preprocess, unmixing and applications. Finally, the paper presents a conclusion of applications of hyperspectral imaging and future r

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10

Chang, Chein-I., Meiping Song, Junping Zhang, and Chao-Cheng Wu. "Editorial for Special Issue “Hyperspectral Imaging and Applications”." Remote Sensing 11, no. 17 (2019): 2012. http://dx.doi.org/10.3390/rs11172012.

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Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue “Hyperspectral Imaging and Applications” is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories, Data Unmixing,

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11

Zou, Chunbo, Jianfeng Yang, Dengshan Wu, et al. "Design and Test of Portable Hyperspectral Imaging Spectrometer." Journal of Sensors 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7692491.

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We design and implement a portable hyperspectral imaging spectrometer, which has high spectral resolution, high spatial resolution, small volume, and low weight. The flight test has been conducted, and the hyperspectral images are acquired successfully. To achieve high performance, small volume, and regular appearance, an improved Dyson structure is designed and used in the hyperspectral imaging spectrometer. The hyperspectral imaging spectrometer is suitable for the small platform such as CubeSat and UAV (unmanned aerial vehicle), and it is also convenient to use for hyperspectral imaging acq

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Chang, Chein-I., Meiping Song, Chunyan Yu, et al. "Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”." Remote Sensing 14, no. 20 (2022): 5111. http://dx.doi.org/10.3390/rs14205111.

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Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data. In particular, its capability has expanded from unmixing data samples and detecting targets at the subpixel scale to finding endmembers, which generally cannot be resolved by multispectral imaging. Accordingly, a wealth of new HSI research has been conducted and reported in the literature in recent years. The aim of this Special Issue “Advances in Hyperspectral Data Exploitation“ is to provide a forum for scholars and

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Stuart, Mary B., Andrew J. S. McGonigle, Matthew Davies, et al. "Low-Cost Hyperspectral Imaging with A Smartphone." Journal of Imaging 7, no. 8 (2021): 136. http://dx.doi.org/10.3390/jimaging7080136.

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Recent advances in smartphone technologies have opened the door to the development of accessible, highly portable sensing tools capable of accurate and reliable data collection in a range of environmental settings. In this article, we introduce a low-cost smartphone-based hyperspectral imaging system that can convert a standard smartphone camera into a visible wavelength hyperspectral sensor for ca. £100. To the best of our knowledge, this represents the first smartphone capable of hyperspectral data collection without the need for extensive post processing. The Hyperspectral Smartphone’s abil

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14

Jiang, Ying Lan, Ruo Yu Zhang, Jie Yu, Wan Chao Hu, and Zhang Tao Yin. "Applications of Visible and near-Infrared Hyperspectral Imaging for Non-Destructive Detection of the Agricultural Products." Advanced Materials Research 317-319 (August 2011): 909–14. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.909.

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Agricultural products quality which included intrinsic attribute and extrinsic characteristic, closely related to the health of consumer and the exported cost. Now, imaging (machine vision) and spectrum are two main nondestructive inspection technologies to be applied. Hyperspectral imaging, a new emerging technology developed for detecting quality of the food and agricultural products in recent years, combined techniques of conventional imaging and spectroscopy to obtain both spatial and spectral information from an objective simultaneously. This paper compared the advantage and disadvantage

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Yang, Shuowen, Xiang Yan, Hanlin Qin, et al. "Mid-Infrared Compressive Hyperspectral Imaging." Remote Sensing 13, no. 4 (2021): 741. http://dx.doi.org/10.3390/rs13040741.

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Hyperspectral imaging (HSI) has been widely investigated within the context of computational imaging due to the high dimensional challenges for direct imaging. However, existing computational HSI approaches are mostly designed for the visible to near-infrared waveband, whereas less attention has been paid to the mid-infrared spectral range. In this paper, we report a novel mid-infrared compressive HSI system to extend the application domain of mid-infrared digital micromirror device (MIR-DMD). In our system, a modified MIR-DMD is combined with an off-the-shelf infrared spectroradiometer to cap

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16

Prathama, V., and Thippeswamy G. Dr. "Food Safety Control Using Hyperspectral Imaging." International Journal of Trend in Scientific Research and Development 2, no. 3 (2018): 796–806. https://doi.org/10.31142/ijtsrd10983.

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Food safety and control is a great concern for the food industry, food borne illnesses are burden on the public health, and can lead to the disturbance to the socity. This paper involves different types of hyperspectral imaging technologies used in the food safety and control for the food industry, and evaluation of food quality with an introduction, demonstration, summarization. Hyperspectral imaging is an emerging technology has been successfully devised in the food inspection and control. Additionally other studies, includes determination of physical, chemical and biological contamination i

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Wu, Jinxing, Yi Zhang, Pengfei Hu, and Yanying Wu. "A Review of the Application of Hyperspectral Imaging Technology in Agricultural Crop Economics." Coatings 14, no. 10 (2024): 1285. http://dx.doi.org/10.3390/coatings14101285.

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China is a large agricultural country, and the crop economy holds an important place in the national economy. The identification of crop diseases and pests, as well as the non-destructive classification of crops, has always been a challenge in agricultural development, hindering the rapid growth of the agricultural economy. Hyperspectral imaging technology combines imaging and spectral techniques, using hyperspectral cameras to acquire raw image data of crops. After correcting and preprocessing the raw image data to obtain the required spectral features, it becomes possible to achieve the rapi

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Pallua, Johannes D., Andrea Brunner, Bernhard Zelger, et al. "New perspectives of hyperspectral imaging for clinical research." NIR news 32, no. 3-4 (2021): 5–13. http://dx.doi.org/10.1177/09603360211024971.

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New developments in instrumentation and data analysis have further improved the perspectives of hyperspectral imaging in clinical use. Thus, hyperspectral imaging can be considered as “Next Generation Imaging” for future clinical research. As a contactless, non-invasive method with short process times of just a few seconds, it quantifies predefined substance classes. Results of hyperspectral imaging may support the detection of carcinomas and the classification of different tissue structures as well as the assessment of tissue blood flow. Taken together, this method combines the principle of s

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19

Klein, Marvin, Bernard Aalderink, Roberto Padoan, Gerrit De Bruin, and Ted Steemers. "Quantitative Hyperspectral Reflectance Imaging." Sensors 8, no. 9 (2008): 5576–618. http://dx.doi.org/10.3390/s8095576.

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20

Goltz, Douglas, and Gregory Hill. "Hyperspectral Imaging of Daguerreotypes." Restaurator. International Journal for the Preservation of Library and Archival Material 33, no. 1 (2012): 1–16. http://dx.doi.org/10.1515/res-2012-0001.

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21

Daukantas, Patricia. "Hyperspectral Imaging Meets Biomedicine." Optics and Photonics News 31, no. 4 (2020): 32. http://dx.doi.org/10.1364/opn.31.4.000032.

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22

Bhujle, H. V. "Preprocessing of Hyperspectral Imaging." International Journal of Science, Engineering and Technology 12, no. 6 (2024): 1–5. https://doi.org/10.61463/ijset.vol.12.issue6.354.

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23

Jex, Catherine, Ela Claridge, Andy Baker, and Claire Smith. "Hyperspectral imaging of speleothems." Quaternary International 187, no. 1 (2008): 5–14. http://dx.doi.org/10.1016/j.quaint.2007.05.011.

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24

Cassis, Lisa A., Aaron Urbas, and Robert A. Lodder. "Hyperspectral integrated computational imaging." Analytical and Bioanalytical Chemistry 382, no. 4 (2005): 868–72. http://dx.doi.org/10.1007/s00216-004-2979-1.

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25

Kellicut, D. C., J. M. Weiswasser, S. Arora, et al. "Emerging Technology: Hyperspectral Imaging." Perspectives in Vascular Surgery and Endovascular Therapy 16, no. 1 (2004): 53–57. http://dx.doi.org/10.1177/153100350401600114.

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Kehlet, Louis Martinus, Peter Tidemand-Lichtenberg, Jeppe Seidelin Dam, and Christian Pedersen. "Infrared upconversion hyperspectral imaging." Optics Letters 40, no. 6 (2015): 938. http://dx.doi.org/10.1364/ol.40.000938.

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27

Hamid Muhammed, Hamed. "Affordable simultaneous hyperspectral imaging." Sensor Review 33, no. 3 (2013): 257–66. http://dx.doi.org/10.1108/02602281311324717.

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28

Ross, Claire G., Carley Chwal, Jeffrey A. Beckstead, Roger W. Byard, and Neil E. I. Langlois. "Hyperspectral imaging of bruises." Pathology 46 (2014): S88. http://dx.doi.org/10.1097/01.pat.0000443642.14560.55.

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29

Liu, Wenhai, George Barbastathis, and Demetri Psaltis. "Volume Holographic Hyperspectral Imaging." Applied Optics 43, no. 18 (2004): 3581. http://dx.doi.org/10.1364/ao.43.003581.

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30

Zaman, Zainab, Saad Bin Ahmed, and Muhammad Imran Malik. "Analysis of Hyperspectral Data to Develop an Approach for Document Images." Sensors 23, no. 15 (2023): 6845. http://dx.doi.org/10.3390/s23156845.

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Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications. In this manuscript, we have compiled and presented a comprehensive overview of recent advances in hyperspectral data analysis that can provide assistance for the development of customized techniques for hyperspectral document images. We review the fundamental concepts of hyperspectral imaging, discuss various techniques for data acquisition, and examine state-of-the-art approaches to the preprocessing, featu

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Zhao, Zhihao, Zhaohua Yang, Jie Liu, Ling'an Wu, and Yuanjin Yu. "Hyperspectral-depth imaging based on single-pixel detectors." Chinese Optics Letters 23, no. 5 (2025): 051103. https://doi.org/10.3788/col202523.051103.

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Pechlivani, Eleftheria Maria, Athanasios Papadimitriou, Sotirios Pemas, Nikolaos Giakoumoglou, and Dimitrios Tzovaras. "Low-Cost Hyperspectral Imaging Device for Portable Remote Sensing." Instruments 7, no. 4 (2023): 32. http://dx.doi.org/10.3390/instruments7040032.

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Hyperspectral imaging has revolutionized various scientific fields by enabling a detailed analysis of objects and materials based on their spectral signatures. However, the high cost and complexity of commercial hyperspectral camera systems limit their accessibility to researchers and professionals. In this paper, a do-it-yourself (DIY) hyperspectral camera device that offers a cost-effective and user-friendly alternative to hyperspectral imaging is presented. The proposed device leverages off-the-shelf components, commercially available hardware parts, open-source software, and novel calibrat

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Liu, Bohan, Shaojie Men, Zhongjun Ding, et al. "Underwater Hyperspectral Imaging System with Liquid Lenses." Remote Sensing 15, no. 3 (2023): 544. http://dx.doi.org/10.3390/rs15030544.

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The underwater hyperspectral imager enables the detection and identification of targets on the seafloor by collecting high-resolution spectral images. The distance between the hyperspectral imager and the targets cannot be consistent in real operation by factors such as motion and fluctuating terrain, resulting in unfocused images and negative effects on the identification. In this paper, we developed a novel integrated underwater hyperspectral imaging system for deep sea surveys and proposed an autofocus strategy based on liquid lens focusing transfer. The calibration tests provided a clear f

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Channing, Georgia. "Spectral DefocusCam: Compressive Hyperspectral Imaging from Defocus Measurements." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (2022): 13128–29. http://dx.doi.org/10.1609/aaai.v36i11.21700.

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Hyperspectral imaging is used for a wide range of tasks from medical diagnostics to crop monitoring, but traditional imagers are prohibitively expensive for widespread use. This research strives to democratize hyperspectral imaging by using machine learning to reconstruct hyperspectral volumes from snapshot imagers. I propose a tunable lens with varying amounts of defocus paired with 31-channel spectral filter array mounted on a CMOS camera. These images are then fed into a reconstruction network that aims to recover the full 31-channel hyperspectral volume from a few encoded images with diffe

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Di Benedetto, Alessia, Luìs Manuel de Almieda Nieto, Alessia Candeo, Gianluca Valentini, Daniela Comelli, and Matthias Alfeld. "Multivariate analysis on fused hyperspectral datasets within Cultural Heritage field." EPJ Web of Conferences 309 (2024): 14007. http://dx.doi.org/10.1051/epjconf/202430914007.

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This work introduces a novel method to multivariate analysis applied to fused hyperspectral datasets in the field of Cultural Heritage (CH). Hyperspectral Imaging is a well-established approach for the non-invasive examination of artworks, offering insights into their composition and conservation status. In CH field, a combination of hyperspectral techniques is usually employed to reach a comprehensive understanding of the artwork. To deal with hyperspectral data, multivariate statistical methods are essential due to the complexity of the data. The process involves factorizing the data matrix

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Bachmann, Charles, Rehman Eon, Christopher Lapszynski, et al. "A Low-Rate Video Approach to Hyperspectral Imaging of Dynamic Scenes." Journal of Imaging 5, no. 1 (2018): 6. http://dx.doi.org/10.3390/jimaging5010006.

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The increased sensitivity of modern hyperspectral line-scanning systems has led to the development of imaging systems that can acquire each line of hyperspectral pixels at very high data rates (in the 200–400 Hz range). These data acquisition rates present an opportunity to acquire full hyperspectral scenes at rapid rates, enabling the use of traditional push-broom imaging systems as low-rate video hyperspectral imaging systems. This paper provides an overview of the design of an integrated system that produces low-rate video hyperspectral image sequences by merging a hyperspectral line scanne

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Wang, Zhongliang, and Hua Xiao. "Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing." Sensors 20, no. 8 (2020): 2305. http://dx.doi.org/10.3390/s20082305.

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The huge volume of hyperspectral imagery demands enormous computational resources, storage memory, and bandwidth between the sensor and the ground stations. Compressed sensing theory has great potential to reduce the enormous cost of hyperspectral imagery by only collecting a few compressed measurements on the onboard imaging system. Inspired by distributed source coding, in this paper, a distributed compressed sensing framework of hyperspectral imagery is proposed. Similar to distributed compressed video sensing, spatial-spectral hyperspectral imagery is separated into key-band and compressed

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Juntunen, Cory, Isabel M. Woller, and Yongjin Sung. "Hyperspectral Three-Dimensional Fluorescence Imaging Using Snapshot Optical Tomography." Sensors 21, no. 11 (2021): 3652. http://dx.doi.org/10.3390/s21113652.

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Hyperspectral three-dimensional (3D) imaging can provide both 3D structural and functional information of a specimen. The imaging throughput is typically very low due to the requirement of scanning mechanisms for different depths and wavelengths. Here we demonstrate hyperspectral 3D imaging using Snapshot projection optical tomography (SPOT) and Fourier-transform spectroscopy (FTS). SPOT allows us to instantaneously acquire the projection images corresponding to different viewing angles, while FTS allows us to perform hyperspectral imaging at high spectral resolution. Using fluorescent beads a

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Vairavan, C., B. M. Kamble, A. G. Durgude, Snehal R. Ingle, and K. Pugazenthi. "Hyperspectral Imaging of Soil and Crop: A Review." Journal of Experimental Agriculture International 46, no. 1 (2024): 48–61. http://dx.doi.org/10.9734/jeai/2024/v46i12290.

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The remote sensing is one of the precision technologies, can be used to monitor and assess the target area or object such as soil, crop, and water. Hyperspectral imaging (HSI), also known as imaging spectrometry or hyperspectral remote sensing, is a combined technique of spectroscopy and imaging system for sensing spectral information of an area or object. It involves capturing images of an object using multiple distinct optical bands that cover a wide range of the electromagnetic spectrum (350-2500 nm). The hyperspectral bands are continuous, narrow, and contagious and contain hundreds and th

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Yule, I., R. Pullanagari, M. Irwin, et al. "Mapping nutrient concentration in pasture using hyperspectral imaging." Journal of New Zealand Grasslands 77 (January 1, 2015): 47–50. http://dx.doi.org/10.33584/jnzg.2015.77.482.

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Hyperspectral sensing using ground-based equipment has been demonstrated to be successful in determining pasture nutrient content (N, P, K, S) and parameters such as dry matter content and metabolisable energy. This technology needed to be up-scaled so that large areas could be rapidly covered with adequate spatial resolution. This paper describes work which demonstrates a progression from hyperspectral sensing to hyperspectral imaging which utilises the visible, near infrared and short wave infrared parts of the electromagnetic spectrum. Large scale calibration and validation field trials wer

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Hogan, Benedict G., and Mary Caswell Stoddard. "Hyperspectral imaging in animal coloration research: A user-friendly pipeline for image generation, analysis, and integration with 3D modeling." PLOS Biology 22, no. 12 (2024): e3002867. https://doi.org/10.1371/journal.pbio.3002867.

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Hyperspectral imaging—a technique that combines the high spectral resolution of spectrophotometry with the high spatial resolution of photography—holds great promise for the study of animal coloration. However, applications of hyperspectral imaging to questions about the ecology and evolution of animal color remain relatively rare. The approach can be expensive and unwieldy, and we lack user-friendly pipelines for capturing and analyzing hyperspectral data in the context of animal color. Fortunately, costs are decreasing and hyperspectral imagers are improving, particularly in their sensitivit

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Borana, S. L., S. K. Yadav, and R. T. Paturkar. "DISCRIMINATION AND CHARACTERIZATION OF PROMINENT DESERTIC VEGETATIONS USING HYPERSPECTRAL IMAGING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 363–68. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-363-2019.

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<p><strong>Abstract.</strong> Imaging Hyperspectral data are advent as potential solutions in modeling, discrimination and mapping of vegetation species. Hyperspectral remote sensing provides valuable information about vegetation type, leaf area index, chlorophyll, and leaf nutrient concentration. Estimation of these vegetation parameters has been made possible by calculating various vegetation indices (VIs), usually by ratioing, differencing, ratioing differences and combinations of suitable spectral band. This paper presents a ground-based hyperspectral imaging system for c

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Shukla, Alpana, and Rajsi Kot. "An Overview of Hyperspectral Remote Sensing and its applications in various Disciplines." IRA-International Journal of Applied Sciences (ISSN 2455-4499) 5, no. 2 (2016): 85. http://dx.doi.org/10.21013/jas.v5.n2.p4.

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<div><p><em>Recent advances in remote sensing and geographic information has opened new directions for the development of hyperspectral sensors. Hyperspectral remote sensing, also known as imaging spectroscopy is a new technology. Hyperspectral imaging is currently being investigated by researchers and scientists for the detection and identification of vegetation, minerals, different objects and background.</em><em> Hyperspectral remote sensing combines imaging and spectroscopy in a single system which often includes large data sets and requires new processing met

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Pei, Zhongming, Yong Mao Huang, and Ting Zhou. "Review on Analysis Methods Enabled by Hyperspectral Imaging for Cultural Relic Conservation." Photonics 10, no. 10 (2023): 1104. http://dx.doi.org/10.3390/photonics10101104.

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In this review, the conservation methods for various types of cultural relics enabled by hyperspectral imaging are summarized, and the hyperspectral cameras and techniques utilized in the process from data acquisition to analyzation are introduced. Hyperspectral imaging is characterized by non-contact detection, broadband, and high resolution, which are of great significance to the non-destructive investigation of cultural relics. However, owing to the wide variety of cultural relics, the utilized equipment and methods vary greatly in the investigations of the associated conservation. Previous

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Lim, Olivier, Stéphane Mancini, and Mauro Dalla Mura. "Feasibility of a Real-Time Embedded Hyperspectral Compressive Sensing Imaging System." Sensors 22, no. 24 (2022): 9793. http://dx.doi.org/10.3390/s22249793.

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Hyperspectral imaging has been attracting considerable interest as it provides spectrally rich acquisitions useful in several applications, such as remote sensing, agriculture, astronomy, geology and medicine. Hyperspectral devices based on compressive acquisitions have appeared recently as an alternative to conventional hyperspectral imaging systems and allow for data-sampling with fewer acquisitions than classical imaging techniques, even under the Nyquist rate. However, compressive hyperspectral imaging requires a reconstruction algorithm in order to recover all the data from the raw compre

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Davies, Matthew, Mary B. Stuart, Matthew J. Hobbs, Andrew J. S. McGonigle, and Jon R. Willmott. "Image Correction and In Situ Spectral Calibration for Low-Cost, Smartphone Hyperspectral Imaging." Remote Sensing 14, no. 5 (2022): 1152. http://dx.doi.org/10.3390/rs14051152.

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Developments in the portability of low-cost hyperspectral imaging instruments translate to significant benefits to agricultural industries and environmental monitoring applications. These advances can be further explicated by removing the need for complex post-processing and calibration. We propose a method for substantially increasing the utility of portable hyperspectral imaging. Vertical and horizontal spatial distortions introduced into images by ‘operator shake’ are corrected by an in-scene reference card with two spatial references. In situ light-source-independent spectral calibration i

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Cui, Rong, He Yu, Tingfa Xu, et al. "Deep Learning in Medical Hyperspectral Images: A Review." Sensors 22, no. 24 (2022): 9790. http://dx.doi.org/10.3390/s22249790.

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With the continuous progress of development, deep learning has made good progress in the analysis and recognition of images, which has also triggered some researchers to explore the area of combining deep learning with hyperspectral medical images and achieve some progress. This paper introduces the principles and techniques of hyperspectral imaging systems, summarizes the common medical hyperspectral imaging systems, and summarizes the progress of some emerging spectral imaging systems through analyzing the literature. In particular, this article introduces the more frequently used medical hy

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Verma, Dhruv, Ian Ruffolo, David B. Lindell, Kiriakos N. Kutulakos, and Alex Mariakakis. "ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 3 (2024): 1–31. http://dx.doi.org/10.1145/3678582.

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Hyperspectral imaging captures scene information across narrow, contiguous bands of the electromagnetic spectrum. Despite its proven utility in industrial and biomedical applications, its ubiquity has been limited by bulky form factors, slow capture times, and prohibitive costs. In this work, we propose a generalized approach to snapshot hyperspectral imaging that only requires a standard rolling shutter camera and wavelength-adjustable lighting. The crux of this approach entails using the rolling shutter as a spatiotemporal mask, varying incoming light quicker than the camera's frame rate in

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Liu, Huajian, Brooke Bruning, Trevor Garnett, and Bettina Berger. "The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat." Sensors 20, no. 16 (2020): 4550. http://dx.doi.org/10.3390/s20164550.

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The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices. Among various plant phenotyping methods, hyperspectral sensing has shown promise in providing accurate measurements in a fast and non-destructive manner. Past applications have utilised non-imaging instruments, such as spectrometers, while more recent approaches have expanded to hyperspectral cameras operating in different wavelength ranges and at variou

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Li, Jing, Long Xue, Mu Hua Liu, Xiao Wang, and Chun Sheng Luo. "Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image." Advanced Materials Research 320 (August 2011): 569–73. http://dx.doi.org/10.4028/www.scientific.net/amr.320.569.

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A hyperspectral imaging system for detecting defect on navel orange was demonstrated. The hyperspectral imaging system, which was a line-scan imaging system, consisted of a hyperspectral camera, a halogen lighting unit, a computer and a translation stage. The imaging system operated from 400 to 1000nm. Principal component analysis (PCA) was performed using the hyperspectral images data (from 500 to 700nm); 2nd principal component (PC) image exhibited differential responses between normal and defect spots on the surface of navel orange. The combined use of the PC-2 images demonstrated the detec

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