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Journal articles on the topic 'Near infrared imagery'

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1

Aden, S. T., J. P. Bialas, Z. Champion, E. Levin, and J. L. McCarty. "Low cost infrared and near infrared sensors for UAVs." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 1–7. http://dx.doi.org/10.5194/isprsarchives-xl-1-1-2014.

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Thermal remote sensing has a wide range of applications, though the extent of its use is inhibited by cost. Robotic and computer components are now widely available to consumers on a scale that makes thermal data a readily accessible resource. In this project, thermal imagery collected via a lightweight remote sensing Unmanned Aerial Vehicle (UAV) was used to create a surface temperature map for the purpose of providing wildland firefighting crews with a cost-effective and time-saving resource. The UAV system proved to be flexible, allowing for customized sensor packages to be designed that co
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Adamopoulos, Efstathios, and Fulvio Rinaudo. "Enhancing Image-Based Multiscale Heritage Recording with Near-Infrared Data." ISPRS International Journal of Geo-Information 9, no. 4 (2020): 269. http://dx.doi.org/10.3390/ijgi9040269.

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Passive sensors, operating in the visible (VIS) spectrum, have widely been used towards the trans-disciplinary documentation, understanding, and protection of tangible cultural heritage (CH). Although, many heritage science fields benefit significantly from additional information that can be acquired in the near-infrared (NIR) spectrum. NIR imagery, captured for heritage applications, has been mostly investigated with two-dimensional (2D) approaches or by 2D-to-three-dimensional (3D) integrations following complicated techniques, including expensive imaging sensors and setups. The availability
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Pisano, Andrea, Francesco Bignami, and Rosalia Santoleri. "Oil Spill Detection in Glint-Contaminated Near-Infrared MODIS Imagery." Remote Sensing 7, no. 1 (2015): 1112–34. http://dx.doi.org/10.3390/rs70101112.

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Mantecón, Tomás, Carlos R. del-Blanco, Fernando Jaureguizar, and Narciso García. "A real-time gesture recognition system using near-infrared imagery." PLOS ONE 14, no. 10 (2019): e0223320. http://dx.doi.org/10.1371/journal.pone.0223320.

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5

Stutte, G. W., and C. A. Stutte. "Use of Near-Infrared video for Localizing Nitrogen Stress in Peach Orchards." HortTechnology 2, no. 2 (1992): 224–27. http://dx.doi.org/10.21273/horttech.2.2.224.

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Computer analysis of airborne, broad-band, near-infrared (NIR, 710 to 1100 nm) video imagery of peach tree canopies was used to determine spatial variability of cumulative stress in two peach orchards. A significant quadratic correlation was found between leaf-N content and the normalized mean pixel intensity (MPI) of the digital imagery of NIR canopy reflectance. This correlation was used to establish MPI estimates of N-stressed trees in the orchard. The relationship was used to localize site-specific spatial variability in a commercial peach orchard. The underlying soil type was found to be
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Coustenis, Athena, Emmanuel Lellouch, Michel Combes, Renald Wittemberg, Christopher P. McKay, and Jean-Pierre Maillard. "Titan’s Atmosphere and Surface from Infrared Spectroscopy and Imagery." International Astronomical Union Colloquium 161 (January 1997): 227–34. http://dx.doi.org/10.1017/s0252921100014743.

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AbstractWe have performed observations of Titan in the near-infrared since 1991, using both spectroscopy and imagery. A higher geometric albedo is observed near the Greatest Eastern Elongation than near the Greatest Western Elongation or Conjunctions. The surface is within reach for telescopes at 1.075, 1.28, 1.6 and 2.0 micron, so we simulated Titan’s geometric albedo in order to derive the surface albedo at all longitudes. Titan’s leading hemisphere appears brighter than the trailing one by 20-25% at 1.08; 1.28 and 1.6 μm, and by 35% at 2.0 μm, with spectra compatible with H2O everywhere. We
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Tempest, Gavin, and Gaynor Parfitt. "Imagery Use and Affective Responses During Exercise: An Examination of Cerebral Hemodynamics Using Near-Infrared Spectroscopy." Journal of Sport and Exercise Psychology 35, no. 5 (2013): 503–13. http://dx.doi.org/10.1123/jsep.35.5.503.

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Imagery, as a cognitive strategy, can improve affective responses during moderate-intensity exercise. The effects of imagery at higher intensities of exercise have not been examined. Further, the effect of imagery use and activity in the frontal cortex during exercise is unknown. Using a crossover design (imagery and control), activity of the frontal cortex (reflected by changes in cerebral hemodynamics using near-infrared spectroscopy) and affective responses were measured during exercise at intensities 5% above the ventilatory threshold (VT) and the respiratory compensation point (RCP). Resu
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Everitt, James H., James V. Richerson, Mario A. Alaniz, David E. Escobar, Ricardo Villarreal, and Michael R. Davis. "Light Reflectance Characteristics and Remote Sensing of Big Bend Loco (Astragalus mollissimusvar.earlei) and Wooton Loco (Astragalus wootonii)." Weed Science 42, no. 1 (1994): 115–22. http://dx.doi.org/10.1017/s0043174500084265.

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The high near-infrared reflectance (0.76 to 0.90 μm) of Big Bend loco and Wooton loco contributed significantly to their orange-red and red image tonal responses, respectively, on color-infrared aerial photographs making them distinguishable from associated vegetation and soil. Big Bend loco could also be distinguished on color-infrared and near-infrared black-and-white video imagery where it had distinct red and whitish tonal responses, respectively. Computer analyses of photographic and videographic images showed that Big Bend loco and Wooton loco populations could be quantified from other l
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Everitt, J. H., D. E. Escobar, D. N. Appel, W. G. Riggs, and M. R. Davis. "Using Airborne Digital Imagery for Detecting Oak Wilt Disease." Plant Disease 83, no. 6 (1999): 502–5. http://dx.doi.org/10.1094/pdis.1999.83.6.502.

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Color-infrared (CIR) digital imagery was evaluated as a remote sensing tool for detecting oak wilt disease in live oak (Quercus fusiformis). Aerial CIR digital imagery and CIR photography were obtained concurrently of a live oak forested area in south-central Texas affected by oak wilt. Dead, diseased, and healthy live oak trees could generally be delineated as well in the digital imagery as in the CIR photography. Light reflectance measurements obtained in the field showed that dead, diseased, and healthy trees had different visible and near-infrared reflectance values.
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Bochko, Vladimir, Petri Välisuo, Toni Harju, and Jarmo Alander. "Lower extremity ulcer image segmentation of visual and near-infrared imagery." Skin Research and Technology 16, no. 2 (2010): 190–97. http://dx.doi.org/10.1111/j.1600-0846.2009.00415.x.

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Schmit, Timothy J., Paul Griffith, Mathew M. Gunshor, Jaime M. Daniels, Steven J. Goodman, and William J. Lebair. "A Closer Look at the ABI on the GOES-R Series." Bulletin of the American Meteorological Society 98, no. 4 (2017): 681–98. http://dx.doi.org/10.1175/bams-d-15-00230.1.

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Abstract The Advanced Baseline Imager (ABI) on board the Geostationary Operational Environmental Satellite-R (GOES-R) is America’s next-generation geostationary advanced imager. GOES-R launched on 19 November 2016. The ABI is a state-of-the-art 16-band radiometer, with spectral bands covering the visible, near-infrared, and infrared portions of the electromagnetic spectrum. Many attributes of the ABI—such as spectral, spatial, and temporal resolution; radiometrics; and image navigation/registration—are much improved from the current series of GOES imagers. This paper highlights and discusses t
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Nagata, Masaki, Toshiki Hirogaki, Eiichi Aoyama, et al. "Quality Control Method Based on Gear Tooth Contact Evaluation Using Near-Infrared Ray Imagery." Key Engineering Materials 447-448 (September 2010): 569–73. http://dx.doi.org/10.4028/www.scientific.net/kem.447-448.569.

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Conventionally, tooth contact evaluation has been performed visually by machine operators in gear manufacturing fields when finishing a gear or during assembly. With automation, the contact area’s boundary is unclear due to scattered light when visible light is used to obtain an image for tooth contact evaluation. We therefore focused on using near-infrared to prevent scattered light. First, we confirmed that the tooth contact image obtained by image binarization is hardly affected by the image threshold. Second, we propose a new method to extract the boundary part of the tooth contact by diff
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Zhang, Hua, Paul V. Zimba, and Emmanuel U. Nzewi. "A New Pseudoinvariant Near-Infrared Threshold Method for Relative Radiometric Correction of Aerial Imagery." Remote Sensing 11, no. 16 (2019): 1931. http://dx.doi.org/10.3390/rs11161931.

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The utilization of high-resolution aerial imagery such as the National Agriculture Imagery Program (NAIP) data is often hampered by a lack of methods for retrieving surface reflectance from digital numbers. This study developed a new relative radiometric correction method to retrieve 1 m surface reflectance from NAIP imagery. The advantage of this method lies in the adaptive identification of pseudoinvariant (PIV) pixels from a time series of Landsat images that can fully characterize the temporally spectral variations of land surface. The identified PIV pixels allow for an effective conversio
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Fletcher, Andrew, and Richard Mather. "Hypertemporal Imaging Capability of UAS Improves Photogrammetric Tree Canopy Models." Remote Sensing 12, no. 8 (2020): 1238. http://dx.doi.org/10.3390/rs12081238.

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Small uncrewed aerial systems (UASs) generate imagery that can provide detailed information regarding condition and change if the products are reproducible through time. Densified point clouds form the basic information for digital surface models and orthorectified mosaics, so variable dense point reconstruction will introduce uncertainty. Eucalyptus trees typically have sparse and discontinuous canopies with pendulous leaves that present a difficult target for photogrammetry software. We examine how spectral band, season, solar azimuth, elevation, and some processing settings impact completen
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15

Joachim, L., and T. Storch. "CLOUD DETECTION FOR NIGHT-TIME PANCHROMATIC VISIBLE AND NEAR-INFRARED SATELLITE IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 853–60. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-853-2020.

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Abstract. Cloud detection for night-time panchromatic visible and near-infrared (VNIR) satellite imagery is typically performed based on synchronized observations in the thermal infrared (TIR). To be independent of TIR and to improve existing algorithms, we realize and analyze cloud detection based on VNIR only, here NPP/VIIRS/DNB observations. Using Random Forest for classifying cloud vs. clear and focusing on urban areas, we illustrate the importance of features describing a) the scattering by clouds especially over urban areas with their inhomogeneous light emissions and b) the normalized d
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16

Cox, Pierre, Jean-Pierre Maillard, P. J. Huggins, et al. "K’-Band Spectro-imagery of AFGL 2688 and NGC 7027." International Astronomical Union Colloquium 149 (1995): 332–35. http://dx.doi.org/10.1017/s0252921100023265.

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HIROGAKI, Toshiki, Eiichi AOYAMA, Yoshitaka USUI, and Masaki NAGATA. "1305 Automatic Tooth Contact Evaluation Method Based on Near-Infrared Ray Imagery." Proceedings of the Machine Design and Tribology Division meeting in JSME 2010.10 (2010): 99–102. http://dx.doi.org/10.1299/jsmemdt.2010.10.99.

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18

Holtkamp, Agnes, Karim Elhennawy, José E. Cejudo Grano de Oro, Joachim Krois, Sebastian Paris, and Falk Schwendicke. "Generalizability of Deep Learning Models for Caries Detection in Near-Infrared Light Transillumination Images." Journal of Clinical Medicine 10, no. 5 (2021): 961. http://dx.doi.org/10.3390/jcm10050961.

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Objectives: The present study aimed to train deep convolutional neural networks (CNNs) to detect caries lesions on Near-Infrared Light Transillumination (NILT) imagery obtained either in vitro or in vivo and to assess the models’ generalizability. Methods: In vitro, 226 extracted posterior permanent human teeth were mounted in a diagnostic model in a dummy head. Then, NILT images were generated (DIAGNOcam, KaVo, Biberach), and images were segmented tooth-wise. In vivo, 1319 teeth from 56 patients were obtained and segmented similarly. Proximal caries lesions were annotated pixel-wise by three
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19

Molthan, Andrew L., Lori A. Schultz, Kevin M. McGrath, et al. "Incorporation and Use of Earth Remote Sensing Imagery within the NOAA/NWS Damage Assessment Toolkit." Bulletin of the American Meteorological Society 101, no. 3 (2020): E323—E340. http://dx.doi.org/10.1175/bams-d-19-0097.1.

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Abstract Severe weather events including tornadoes, damaging winds, hail, and their combination produce changes in land surface vegetation and urban settings that are frequently observed through remote sensing. Capabilities continue to improve through a growing constellation of governmental and commercial assets, increasing the spatial resolution of visible, near to shortwave infrared, and thermal infrared remote sensing. Here, we highlight cases where visual interpretation of imagery benefitted severe weather damage assessments made within the NOAA/NWS Damage Assessment Toolkit. Examples demo
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20

Millán, Luis, M. Lebsock, E. Fishbein, P. Kalmus, and J. Teixeira. "Quantifying Marine Boundary Layer Water Vapor beneath Low Clouds with Near-Infrared and Microwave Imagery." Journal of Applied Meteorology and Climatology 55, no. 1 (2016): 213–25. http://dx.doi.org/10.1175/jamc-d-15-0143.1.

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AbstractThis study investigates the synergy of collocated microwave radiometry and near-infrared imagery to estimate the marine boundary layer water vapor beneath uniform cloud fields. Microwave radiometry provides the total column water vapor, while the near-infrared imagery provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor. In combining the two datasets, we apply several flags as well as proximity tests to remove pixels with high clouds and/or intrap
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Tanamachi, Robin L., Howard B. Bluestein, Stephen S. Moore, and Robert P. Madding. "Infrared Thermal Imagery of Cloud Base in Tornadic Supercells." Journal of Atmospheric and Oceanic Technology 23, no. 11 (2006): 1445–61. http://dx.doi.org/10.1175/jtech1942.1.

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Abstract During the spring seasons of 2003 and 2004, an infrared thermal camera was deployed in and around supercell thunderstorms in an attempt to retrieve the temperature at the cloud base of a mesocyclone prior to tornadogenesis. The motivation for this exercise was to obtain temperature information that might indicate the thermal structure, timing, and extent of the rear-flank downdraft (RFD) and possibly elucidate its relationship to tornadogenesis. An atmospheric transmissivity study was conducted to account for the effects of atmospheric transmission on the measured temperatures, and to
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Gowravaram, Saket, Haiyang Chao, Andrew Molthan, et al. "Spectral Reflectance Estimation of UAS Multispectral Imagery Using Satellite Cross-Calibration Method." Photogrammetric Engineering & Remote Sensing 87, no. 10 (2021): 735–46. http://dx.doi.org/10.14358/pers.20-00091r2.

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This paper introduces a satellite-based cross-calibration (SCC) method for spectral reflectance estimation of unmanned aircraft system (UAS) multispectral imagery. The SCC method provides a low-cost and feasible solution to convert high-resolution UAS images in digital numbers (DN) to reflectance when satellite data is available. The proposed method is evaluated using a multispectral data set, including orthorectified KHawk UAS DN imagery and Landsat 8 Operational Land Imager Level-2 surface reflectance (SR) data over a forest/grassland area. The estimated UAS reflectance images are compared w
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Collin, A., D. James, A. Mury, M. Letard, and B. Guillot. "PREDICTING THE INFRARED UAV IMAGERY OVER THE COAST." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2021 (June 28, 2021): 149–56. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2021-149-2021.

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Abstract. The infrared (IR) imagery provides additional information to the visible (red-green-blue, RGB) about vegetation, soil, water, mineral, or temperature, and has become essential for various disciplines, such as geology, hydrology, ecology, archeology, meteorology or geography. The integration of the IR sensors, ranging from near-IR (NIR) to thermal-IR through mid-IR, constitutes a baseline for Earth Observation satellites but not for unmanned airborne vehicles (UAV). Given the hyperspatial and hypertemporal characteristics associated with the UAV survey, it is relevant to benefit from
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Dalm, M., M. W. N. Buxton, and F. J. A. van Ruitenbeek. "Ore–Waste Discrimination in Epithermal Deposits Using Near-Infrared to Short-Wavelength Infrared (NIR-SWIR) Hyperspectral Imagery." Mathematical Geosciences 51, no. 7 (2018): 849–75. http://dx.doi.org/10.1007/s11004-018-9758-6.

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25

Holper, Lisa, and Martin Wolf. "Motor imagery in response to fake feedback measured by functional near-infrared spectroscopy." NeuroImage 50, no. 1 (2010): 190–97. http://dx.doi.org/10.1016/j.neuroimage.2009.12.055.

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Mihara, Masahito, Ichiro Miyai, Noriaki Hattori, et al. "Neurofeedback Using Real-Time Near-Infrared Spectroscopy Enhances Motor Imagery Related Cortical Activation." PLoS ONE 7, no. 3 (2012): e32234. http://dx.doi.org/10.1371/journal.pone.0032234.

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HUETE, A. R., and C. J. TUCKER. "Investigation of soil influences in AVHRR red and near-infrared vegetation index imagery." International Journal of Remote Sensing 12, no. 6 (1991): 1223–42. http://dx.doi.org/10.1080/01431169108929723.

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Holper, Lisa, Diego E. Shalóm, Martin Wolf, and Mariano Sigman. "Understanding inverse oxygenation responses during motor imagery: a functional near-infrared spectroscopy study." European Journal of Neuroscience 33, no. 12 (2011): 2318–28. http://dx.doi.org/10.1111/j.1460-9568.2011.07720.x.

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Miesch, C., L. Poutier, V. Achard, X. Briottet, X. Lenot, and Y. Boucher. "Direct and inverse radiative transfer solutions for visible and near-infrared hyperspectral imagery." IEEE Transactions on Geoscience and Remote Sensing 43, no. 7 (2005): 1552–62. http://dx.doi.org/10.1109/tgrs.2005.847793.

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Olsoy, P. J., S. N. Barrett, B. C. Robb, et al. "SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-M-3-2021 (August 10, 2021): 127–32. http://dx.doi.org/10.5194/isprs-archives-xliv-m-3-2021-127-2021.

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Abstract. Sagebrush ecosystems (Artemisia spp.) face many threats including large wildfires and conversion to invasive annuals, and thus are the focus of intense restoration efforts across the western United States. Specific attention has been given to restoration of sagebrush systems for threatened herbivores, such as Greater Sage-Grouse (Centrocercus urophasianus) and pygmy rabbits (Brachylagus idahoensis), reliant on sagebrush as forage. Despite this, plant chemistry (e.g., crude protein, monoterpenes and phenolics) is rarely considered during reseeding efforts or when deciding which areas
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Johnson, Kathleen E., and Krzysztof Koperski. "VNIR-SWIR Superspectral Mineral Mapping: An Example from Cuprite, Nevada." Photogrammetric Engineering & Remote Sensing 86, no. 11 (2020): 695–700. http://dx.doi.org/10.14358/pers.86.11.695.

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Cuprite, Nevada, is a location well known for numerous studies of its hydrothermal mineralogy. This region has been used to validate geological interpretations of airborne hyperspectral imagery (AVIRIS HSI ), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER ) imagery, and most recently eight-band WorldView-3 shortwave infrared (SWIR ) imagery. WorldView-3 is a high-spatial-resolution commercial multispectral satellite sensor with eight visible-to-near-infrared (VNIR ) bands (0.42–1.04 μm) and eight SWIR bands (1.2–2.33 μm). We have applied mineral mapping techniques to all
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Ito, Tomotaka, Satoshi Ushii, Takafumi Sameshima, Yoshihiro Mitsui, Shohei Ohgi, and Chihiro Mizuike. "Design of Brain-Machine Interface Using Near-Infrared Spectroscopy." Journal of Robotics and Mechatronics 25, no. 6 (2013): 1000–1010. http://dx.doi.org/10.20965/jrm.2013.p1000.

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In recent years, the fields of robotics and medical science have been paying close attention to brainmachine interface (BMI) systems. BMI observes human cerebral activity and use the collected data as the input to various instruments. If such a systemcould be effectively realized, it could be used as a new intuitive input interface for application to human-robot interactions, welfare scenarios, etc. In this paper, we discussed a design problem related to a BMI system using near-infrared spectroscopy (NIRS). We developed a brain state classifier based on the learning vector quantization (LVQ) m
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Xu, Rudong, Jin Liu, and Jianhui Xu. "Extraction of High-Precision Urban Impervious Surfaces from Sentinel-2 Multispectral Imagery via Modified Linear Spectral Mixture Analysis." Sensors 18, no. 9 (2018): 2873. http://dx.doi.org/10.3390/s18092873.

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This study explores the performance of Sentinel-2A Multispectral Instrument (MSI) imagery for extracting urban impervious surface using a modified linear spectral mixture analysis (MLSMA) method. Sentinel-2A MSI provided 10 m red, green, blue, and near-infrared spectral bands, and 20 m shortwave infrared spectral bands, which were used to extract impervious surfaces. We aimed to extract urban impervious surfaces at a spatial resolution of 10 m in the main urban area of Guangzhou, China. In MLSMA, a built-up image was first extracted from the normalized difference built-up index (NDBI) using th
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Surový, P., N. A Ribeiro, A. C Oliveira, and Ľ. Scheer. "Discrimination of vegetation from the background in high resolution colour remote sensed imagery." Journal of Forest Science 50, No. 4 (2012): 161–70. http://dx.doi.org/10.17221/4611-jfs.

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Different transformations of RGB colour space were compared to develop the best method for discrimination of vegetation from the background in open pure cork oak stands in southern Portugal in high-resolution colour imagery. Normalised difference index, i1i2i3 colour space and other indices developed for classic band imagery were recalculated for near infrared imagery and tested. A new method for fully automated thresholding was developed and tested. The newly developed index shows the equal accuracy performance but provides the smallest overestimation error and retains the largest scale of gr
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Chen, X., T. A. Warner, and D. J. Campagna. "Integrating visible, near‐infrared and short wave infrared hyperspectral and multispectral thermal imagery for geologic mapping: simulated data." International Journal of Remote Sensing 28, no. 11 (2007): 2415–30. http://dx.doi.org/10.1080/01431160600702624.

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Everitt, James H., David E. Escobar, Mario A. Alaniz, Ricardo Villarreal, and Michael R. Davis. "Distinguishing Brush and Weeds on Rangelands Using Video Remote Sensing." Weed Technology 6, no. 4 (1992): 913–21. http://dx.doi.org/10.1017/s0890037x00036472.

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This paper describes the application of a relatively new remote sensing tool, airborne video imagery, for distinguishing weed and brush species on rangelands. Plant species studied were false broomweed, spiny aster, and Chinese tamarisk. A multispectral video system that acquired color-infrared (CIR) composite imagery and its simultaneously synchronized three-band [near-infrared (NIR), red, and yellow-green] narrowband images was used for the false broomweed and spiny aster experiments. A conventional color camcorder video system was used to study Chinese tamarisk. False broomweed and spiny as
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Quang Dang Khoa, Truong, and Vo Van Toi. "Multifractals Properties on the Near Infrared Spectroscopy of Human Brain Hemodynamic." Mathematical Problems in Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/670761.

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Nonlinear physics presents us with a perplexing variety of complicated fractal objects and strange sets. Naturally one wishes to characterize the objects and describe the events occurring on them. Moreover, most time series found in “real-life” applications appear quite noisy. Therefore, at almost every point in time, they cannot be approximated either by the Taylor series or by the Fourier series of just a few terms. Many experimental time series have fractal features and display singular behavior, the so-called singularities. The multifractal spectrum quantifies the degree of fractals in the
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Ducart, Diego Fernando, Adalene Moreira Silva, Catarina Labouré Bemfica Toledo, and Luciano Mozer de Assis. "Mapping iron oxides with Landsat-8/OLI and EO-1/Hyperion imagery from the Serra Norte iron deposits in the Carajás Mineral Province, Brazil." Brazilian Journal of Geology 46, no. 3 (2016): 331–49. http://dx.doi.org/10.1590/2317-4889201620160023.

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ABSTRACT: Mapping methods for iron oxides and clay minerals, using Landsat-8/Operational Land Imager (OLI) and Earth Observing 1 (EO-1)/Hyperion imagery integrated with airborne geophysical data, were applied in the N4, N5, and N4WS iron deposits, Serra Norte, Carajás, Brazil. Band ratios were achieved on Landsat-8/OLI imagery, allowing the recognition of the main minerals from iron deposits. The Landsat-8/OLI imagery showed a robust performance for iron oxide exploration, even in vegetated shrub areas. Feature extraction and Spectral Angle Mapper hyperspectral classification methods were carr
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Durfee, Nicole, Carlos Ochoa, and Ricardo Mata-Gonzalez. "The Use of Low-Altitude UAV Imagery to Assess Western Juniper Density and Canopy Cover in Treated and Untreated Stands." Forests 10, no. 4 (2019): 296. http://dx.doi.org/10.3390/f10040296.

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Monitoring vegetation characteristics and ground cover is crucial to determine appropriate management techniques in western juniper (Juniperus occidentalis Hook.) ecosystems. Remote-sensing techniques have been used to study vegetation cover; yet, few studies have applied these techniques using unmanned aerial vehicles (UAV), specifically in areas of juniper woodlands. We used ground-based data in conjunction with low-altitude UAV imagery to assess vegetation and ground cover characteristics in a paired watershed study located in central Oregon, USA. The study was comprised of a treated waters
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El Oufir, Mohamed Karim, Karem Chokmani, Anas El Alem, Hachem Agili, and Monique Bernier. "Seasonal Snowpack Classification Based on Physical Properties Using Near-Infrared Proximal Hyperspectral Data." Sensors 21, no. 16 (2021): 5259. http://dx.doi.org/10.3390/s21165259.

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This paper proposes an innovative method for classifying the physical properties of the seasonal snowpack using near-infrared (NIR) hyperspectral imagery to discriminate the optical classes of snow at different degrees of metamorphosis. This imaging system leads to fast and non-invasive assessment of snow properties. Indeed, the spectral similarity of two samples indicates the similarity of their chemical composition and physical characteristics. This can be used to distinguish, without a priori recognition, between different classes of snow solely based on spectral information. A multivariate
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Summy, Kenneth R., and Christopher R. Little. "Using Color Infrared Imagery to Detect Sooty Mold and Fungal Pathogens of Glasshouse-propagated Plants." HortScience 43, no. 5 (2008): 1485–91. http://dx.doi.org/10.21273/hortsci.43.5.1485.

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Fungi are major biotic constraints for optimum production and quality of glasshouse plants. When plants are infested with sooty mold (Capnodium spp.) or infected with pathogens, the reflected wavelengths of the electromagnetic spectrum are altered. Spectroradiometric measurements and color infrared (CIR) images of control, honeydew-coated, and sooty mold-infested saplings and individual leaves from trifoliate orange (Poncirus trifoliata), sour orange (Citrus aurantium), ‘Valencia’ orange (C. sinensis), and ‘Bo’ tree (Ficus religiosa) were obtained. Grapefruit saplings and individual leaves inf
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Hernandez-Jimenez, J. A., H. Dottori, P. Grosbøl, and N. Vera-Villamizar. "The Circumnuclear Spiral Pattern of NGC 5427." Proceedings of the International Astronomical Union 5, S267 (2009): 331. http://dx.doi.org/10.1017/s1743921310006617.

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We have studied Hubble Space Telescope archive imagery of the central region of the Seyfert 2 galaxy NGC 5427. The images were taken with F606W (V-band) and F160W (H-band) filters with the Wide Field and Planetary Camera 2 and the Near Infrared Camera and Multi-Object Spectrometer, respectively.
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Bühler, Yves, Marc S. Adams, Andreas Stoffel, and Ruedi Boesch. "Photogrammetric reconstruction of homogenous snow surfaces in alpine terrain applying near-infrared UAS imagery." International Journal of Remote Sensing 38, no. 8-10 (2017): 3135–58. http://dx.doi.org/10.1080/01431161.2016.1275060.

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Korzeniowska, Karolina, Yves Bühler, Mauro Marty, and Oliver Korup. "Regional snow-avalanche detection using object-based image analysis of near-infrared aerial imagery." Natural Hazards and Earth System Sciences 17, no. 10 (2017): 1823–36. http://dx.doi.org/10.5194/nhess-17-1823-2017.

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Abstract. Snow avalanches are destructive mass movements in mountain regions that continue to claim lives and cause infrastructural damage and traffic detours. Given that avalanches often occur in remote and poorly accessible steep terrain, their detection and mapping is extensive and time consuming. Nonetheless, systematic avalanche detection over large areas could help to generate more complete and up-to-date inventories (cadastres) necessary for validating avalanche forecasting and hazard mapping. In this study, we focused on automatically detecting avalanches and classifying them into rele
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Amemiya, Kaoru, Tomohiro Ishizu, Tomoaki Ayabe, and Shozo Kojima. "Effects of motor imagery on intermanual transfer: A near-infrared spectroscopy and behavioural study." Brain Research 1343 (July 2010): 93–103. http://dx.doi.org/10.1016/j.brainres.2010.04.048.

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Xu, Dandan, Dong Zhang, Dan Shi, and Zhaoqing Luan. "Automatic Extraction of Open Water Using Imagery of Landsat Series." Water 12, no. 7 (2020): 1928. http://dx.doi.org/10.3390/w12071928.

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Open surface freshwater is an important resource for terrestrial ecosystems. However, climate change, seasonal precipitation cycling, and anthropogenic activities add high variability to its availability. Thus, timely and accurate mapping of open surface water is necessary. In this study, a methodology based on the concept of spatial autocorrelation was developed for automatic water extraction from Landsat series images using Taihu Lake in south-eastern China as an example. The results show that this method has great potential to extract continuous open surface water automatically, even when t
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Stutte, Gary W. "CLASSIFICATION OF STRESS-INDUCED SPATIAL VARIABILITY IN NEAR-INFRARED CANOPY REFLECTANCE." HortScience 25, no. 9 (1990): 1136b—1136. http://dx.doi.org/10.21273/hortsci.25.9.1136b.

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A digital video camera (Panasonic Industrial Co., Secaucus, NJ) with a 1.7 cm charged coupled device detector (574 (h) × 499 (v) pixel elements) was modified with a custom made FRF-700 band pass filter to visualize canopy reflectance in the near-infrared (NIR) from 700 to 1100 nm. Images of canopy reflectance under a range of environmental stresses were obtained from peach and apple trees under greenhouse and field conditions. Individual video frames were digitized with Image Capture and Analysis System (Agri Imaging Systems, Inc., Fayetteville, AR). Image contrast was increased with digital e
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Trinh, Hung Le, Ha Thu Thi Le, Loc Duc Le, and Long Thanh Nguyen. "A development of the Enhanced Built-up and Bareness Index (EBBI) based on combination of multi-resolution Landsat 8 and Sentinel 2 MSI images." Journal of Mining and Earth Sciences 62, no. 1 (2021): 1–9. http://dx.doi.org/10.46326/jmes.2021.62(1).01.

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Classification of built-up land and bare land on remote sensing images is a very difficult problem due to the complexity of the urban land cover. Several urban indices have been proposed to improve the accuracy in classifying urban land use/land cover from optical satellite imagery. This paper presents an development of the EBBI (Enhanced Built-up and Bareness Index) index based on the combination of Landsat 8 and Sentinel 2 multi-resolution satellite imagery. Near infrared band (band 8a), short wave infrared band (band 11) of Sentinel 2 MSI image and thermal infrared band (band 10) Landsat 8
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Chen, Xianfeng, Timothy A. Warner, and David J. Campagna. "Integrating visible, near-infrared and short-wave infrared hyperspectral and multispectral thermal imagery for geological mapping at Cuprite, Nevada." Remote Sensing of Environment 110, no. 3 (2007): 344–56. http://dx.doi.org/10.1016/j.rse.2007.03.015.

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Zhang, Jieyun, Qingling Zhang, Anming Bao, and Yujuan Wang. "A New Remote Sensing Dryness Index Based on the Near-Infrared and Red Spectral Space." Remote Sensing 11, no. 4 (2019): 456. http://dx.doi.org/10.3390/rs11040456.

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Soil moisture, as a crucial indicator of dryness, is an important research topic for dryness monitoring. In this study, we propose a new remote sensing dryness index for measuring soil moisture from spectral space. We first established a spectral space with remote sensing reflectance data at the near-infrared (NIR) and red (R) bands. Considering the distribution regularities of soil moisture in this space, we formulated the Ratio Dryness Monitoring Index (RDMI) as a new dryness monitoring indicator. We compared RDMI values with in situ soil moisture content data measured at 0–10 cm depth. Resu
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