Academic literature on the topic 'Imagery sensors'

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Journal articles on the topic "Imagery sensors"

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Dabrowski, R., A. Orych, A. Jenerowicz, and P. Walczykowski. "PRELIMINARY RESULTS FROM THE PORTABLE IMAGERY QUALITY ASSESSMENT TEST FIELD (PIQuAT) OF UAV IMAGERY FOR IMAGERY RECONNAISSANCE PURPOSES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 26, 2015): 111–15. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-111-2015.

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The article presents a set of initial results of a quality assessment study of 2 different types of sensors mounted on an unmanned aerial vehicle, carried out over an especially designed and constructed test field. The PIQuAT (Portable Imagery Quality Assessment Test Field) field had been designed especially for the purposes of determining the quality parameters of UAV sensors, especially in terms of the spatial, spectral and radiometric resolutions and chosen geometric aspects. The sensor used include a multispectral framing camera and a high-resolution RGB sensor. The flights were conducted
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Brown, Alison, and Paul Olson. "Navigation and Electro-Optic Sensor Integration Technology for Fusion of Imagery and Digital Mapping Products." Journal of Navigation 53, no. 1 (2000): 132–45. http://dx.doi.org/10.1017/s0373463399008735.

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Several military and commercial platforms are currently installing GPS and inertial navigation sensors concurrently with the introduction of high-quality visual capabilities and digital mapping/imagery databases. This enables autonomous geo-registration of sensor imagery using GPS/inertial position and attitude data, and also permits data from digital mapping products to be overlaid automatically on the sensor imagery. This paper describes the system architecture for a Navigation/Electro-Optic Sensor Integration Technology (NEOSIT) software application. The design is highly modular and based o
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Vatitsi, Katerina, Sofia Siachalou, Dionissis Latinopoulos, Ifigenia Kagalou, Christos S. Akratos, and Giorgos Mallinis. "Monitoring Water Quality Parameters in Small Rivers Using SuperDove Imagery." Water 16, no. 5 (2024): 758. http://dx.doi.org/10.3390/w16050758.

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Freshwater ecosystems provide an array of provisioning, regulating/maintenance, and cultural ecosystem services. Despite their crucial role, freshwater ecosystems are exceptionally vulnerable due to changes driven by both natural and human factors. Water quality is essential for assessing the condition and ecological health of freshwater ecosystems, and its evaluation involves various water quality parameters. Remote sensing has become an efficient approach for retrieving and mapping these parameters, even in optically complex waters such as small rivers. This study specifically focuses on mod
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Nuris, Rayhan, Jonson Lumban Gaol, and Teguh Prayogo. "CHLOROPHYLL-A CONCENTRATIONS ESTIMATION FROM AQUA-MODIS AND VIIRS-NPP SATELLITE SENSORS IN SOUTH JAVA SEA WATERS." International Journal of Remote Sensing and Earth Sciences (IJReSES) 12, no. 1 (2017): 63. http://dx.doi.org/10.30536/j.ijreses.2015.v12.a2673.

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This study aimed to estimate the concentration of chlorophyll-a from satellite imagery of National Polar-Orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) in the south Java Sea waters and compare it to the concentrations of chlorophyll-a estimation result from the MODIS-Aqua satellite. NPP satellite had Visible/Infrared Imager Radiometer Suite (VIIRS) sensors which performance was same as Moderate Resolution Imaging Spectroradiometer (MODIS) sensor with a better spatial resolution. This study used daily satellite imagery of VIIRS-NPP for the period of Septe
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Molijn, Ramses, Lorenzo Iannini, Jansle Vieira Rocha, and Ramon Hanssen. "Sugarcane Productivity Mapping through C-Band and L-Band SAR and Optical Satellite Imagery." Remote Sensing 11, no. 9 (2019): 1109. http://dx.doi.org/10.3390/rs11091109.

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Space-based remote sensing imagery can provide a valuable and cost-effective set of observations for mapping crop-productivity differences. The effectiveness of such signals is dependent on several conditions that are related to crop and sensor characteristics. In this paper, we present the dynamic behavior of signals from five Synthetic Aperture Radar (SAR) sensors and optical sensors with growing sugarcane, focusing on saturation effects and the influence of precipitation events. In addition, we analyzed the level of agreement within and between these spaceborne datasets over space and time.
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White, Laura A., and Rebecca K. Gibson. "Comparing Fire Extent and Severity Mapping between Sentinel 2 and Landsat 8 Satellite Sensors." Remote Sensing 14, no. 7 (2022): 1661. http://dx.doi.org/10.3390/rs14071661.

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Mapping of fire extent and severity across broad landscapes and timeframes using remote sensing approaches is valuable to inform ecological research, biodiversity conservation and fire management. Compiling imagery from various satellite sensors can assist in long-term fire history mapping; however, inherent sensor differences need to be considered. The New South Wales Fire Extent and Severity Mapping (FESM) program uses imagery from Sentinel and Landsat satellites, along with supervised classification algorithms, to produce state-wide fire maps over recent decades. In this study, we compared
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Brotoisworo, P., RK Aranas, and MJ Felix. "Automated georeferencing of Diwata-2 multispectral imagery using feature matching." Journal of Physics: Conference Series 2214, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1742-6596/2214/1/012027.

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Abstract The Diwata-2 microsatellite is a 56 kg optical microsatellite that features different optical sensors such as the medium resolution Spaceborne Multispectral Sensor (SMI) and a high-resolution sensor called High Precision Telescope (HPT). This research aims to develop an automated georeferencing workflow for coregistered multiband HPT and SMI imagery with a GSD of 5 meters and 127 meters respectively. Georeferencing is done using a mixture of FAST and SIFT feature matching algorithms where HPT imagery used SIFT descriptors and detectors and SMI used FAST detectors and SIFT descriptors.
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Philippe, Julien, Maria De Paolis, Dominique Henry, et al. "In-Situ Wireless Pressure Measurement Using Zero-Power Packaged Microwave Sensors." Sensors 19, no. 6 (2019): 1263. http://dx.doi.org/10.3390/s19061263.

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This paper reports the indoor wireless measurement of pressure from zero-power (or passive) microwave (24 GHz) sensors. The sensors are packaged and allow the remote measurement of overpressure up to 2.1 bars. Their design, fabrication process and packaging are detailed. From the measurement of sensor scattering parameters, the outstanding sensitivity of 995 MHz/bar between 0.8 and 2.1 bars was achieved with the full-scale measurement range of 1.33 GHz. Moreover, the 3D radar imagery technique was applied for the remote interrogation of these sensors in electromagnetic reverberant environments
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Dillen, Arnau, Fakhreddine Ghaffari, Olivier Romain, et al. "Optimal Sensor Set for Decoding Motor Imagery from EEG." Applied Sciences 13, no. 7 (2023): 4438. http://dx.doi.org/10.3390/app13074438.

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Brain–computer interfaces (BCIs) have the potential to enable individuals to interact with devices by detecting their intention from brain activity. A common approach to BCI is to decode movement intention from motor imagery (MI), the mental representation of an overt action. However, research-grade electroencephalogram (EEG) acquisition devices with a high number of sensors are typically necessary to achieve the spatial resolution required for reliable analysis. This entails high monetary and computational costs that make these approaches impractical for everyday use. This study investigates
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Fischer, Peter, Philipp Schuegraf, Nina Merkle, and Tobias Storch. "AN EVOLUTIONARY ALGORITHM FOR FAST INTENSITY BASED IMAGE MATCHING BETWEEN OPTICAL AND SAR SATELLITE IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-3 (April 23, 2018): 83–90. http://dx.doi.org/10.5194/isprs-annals-iv-3-83-2018.

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This paper presents a hybrid evolutionary algorithm for fast intensity based matching between satellite imagery from SAR and very high-resolution (VHR) optical sensor systems. The precise and accurate co-registration of image time series and images of different sensors is a key task in multi-sensor image processing scenarios. The necessary preprocessing step of image matching and tie-point detection is divided into a search problem and a similarity measurement. Within this paper we evaluate the use of an evolutionary search strategy for establishing the spatial correspondence between satellite
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Dissertations / Theses on the topic "Imagery sensors"

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Markiel, JN M. "Navigation in GPS Challenged Environments Based Upon Ranging Imagery." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343743930.

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Neto, Francelina M. M. A. "Analysis of the characteristics and orientation of linear array stereo imagery from satellite sensors." Thesis, University College London (University of London), 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320524.

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Bu, Honggang. "Yield and Quality Prediction Using Satellite Passive Imagery and Ground-Based Active Optical Sensors in Sugar Beet, Spring Wheat, Corn, and Sunflower." Thesis, North Dakota State University, 2014. https://hdl.handle.net/10365/27329.

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Remote sensing is one possible approach for improving crop nitrogen use efficiency to save fertilizer costs, reduce environmental pollution, and improve crop yield and quality. Feasibility and potential of using remote sensing tools to predict crop yields and quality as well as to detect nitrogen requirements, application timing, rate, and places in season were investigated based on a two-year (2012-2013) and four-crop (corn, spring wheat, sugar beet, and sunflower) study. Two ground-based active optical sensors, GreenSeekerTM and Holland Scientific Crop CircleTM, and the RapidEyeTM satellite
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Vogt, Holger [Verfasser]. "Derivation of forest inventory parameters from high-resolution satellite imagery for the Thunkel area, Northern Mongolia. A comparative study on various satellite sensors and data analysis techniques. / Holger Vogt." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2021. http://d-nb.info/1235222691/34.

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Henry, Dominique. "Imagerie radar en ondes millimétriques appliquée à la viticulture." Phd thesis, Toulouse, INPT, 2018. http://oatao.univ-toulouse.fr/23535/1/HENRY_Dominique.pdf.

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Avec l’expansion des exploitations agricoles, le principe d’homogénéité du rendement (céréales, fruits…) devient de moins en moins pertinent. Ce phénomène de variabilité spatiale implique des conséquences économiques et environnementales avec le développement de nouveaux concepts agricoles comme les « site-specific management » (gestion spécifique des parcelles). Les traitements tels que les fertilisants, les intrants et autres pesticides doivent être utilisés de manière différente en les appliquant au bon endroit, à la bonne période et au bon taux. Cette nouvelle façon de penser l’agriculture
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Silva, Fabiano Miranda da. "Sensores magnetorresistivos para aplicações de biomagnetismo." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-29062009-115219/.

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O laboratório de biomagnetismo tem realizado com sucesso estudos da motilidade gastrointestinal medindo tempos de trânsito e de esvaziamento de diferentes segmentos do trato gastrointestinal. Nesse estudo tanto a magnetização remanente como a susceptibilidade magnética de diferentes regiões do trato gastrointestinal são medidas. Os sensores magnetoresistivos serão utilizados para estudo de marcadores ferromagnéticos ou pequenos imãs (aproximados por dipolos magnéticos) in vitro, que possibilitará em trabalhos futuros serem utilizados no estudo de marcadores magnéticos no trato gastrintestinal.
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Moreira, Lucas Pladevall. "Proposta de sensor de amido em folha de plantas." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-05122017-140650/.

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Para contribuir com o desenvolvimento da automação agrícola, este trabalho descreve abordagens metodológicas e cria uma proposta para a elaboração de um sensor de medição de amido em folhas de plantas, para a quantificação de amido nas folhas das plantas, utilizando técnicas de processamento de imagem em cortes de secção transversal de folhas de goiabeira Psidium guajava L marcadas com Lugol para quantificar após calibração os grãos de amido presentes na folha. Os resultados obtidos foram satisfatórios, com redução do tempo necessário para obtenção da medição, propiciando sua utilização como s
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Li, Wai-Mo 1964. "Sensor modeling and image restoration for a CCD pushbroom imager." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276601.

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Following the development of detector technology, remote sensing image detection is being implemented with charge-coupled devices (CCD), which have promising features. The French SPOT system is the first civilian satellite sensor employing a CCD in its detection unit. In order to obtain the system transfer function (TF), a linear system model is developed in the across- and along-track directions. The overall system TF, including pixel sampling effects, is then used in the Wiener filter function to derive an optimal restoration function. A restoration line spread function (RLSF) is obtained by
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Otim, Stephen O. "Simplified fixed pattern noise correction and image display for high dynamic range CMOS logarithmic imagers." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:6a8cbdbf-ef5c-473f-a22e-76e1f8a2603b.

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Biologically inspired logarithmic CMOS sensors offer high dynamic range imaging capabilities without the difficulties faced by linear imagers. By compressing dynamic range while encoding contrast information, they mimic the human visual system’s response to photo stimuli in fewer bits than those used in linear sensors. Despite this prospect, logarithmic sensors suffer poor image quality due to illumination dependent fixed pattern noise (FPN), making individual pixels appear up to 100 times brighter or darker. This thesis is primarily concerned with alleviating FPN in logarithmic imagers in a s
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Lee, Juheon. "Mapping individual trees from airborne multi-sensor imagery." Thesis, University of Cambridge, 2016. https://www.repository.cam.ac.uk/handle/1810/266686.

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Airborne multi-sensor imaging is increasingly used to examine vegetation properties. The advantage of using multiple types of sensor is that each detects a different feature of the vegetation, so that collectively they provide a detailed understanding of the ecological pattern. Specifically, Light Detection And Ranging (LiDAR) devices produce detailed point clouds of where laser pulses have been backscattered from surfaces, giving information on vegetation structure; hyperspectral sensors measure reflectances within narrow wavebands, providing spectrally detailed information about the optical
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Books on the topic "Imagery sensors"

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B, McCord Thomas, and United States. National Aeronautics and Space Administration., eds. A visible-infrared imaging spectrometer for planetary missions: (PIDDP), final report : contract NASW-4739. SETS Technology, Inc., 1996.

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L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. Landsat-4 science characterization early results. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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United States. National Aeronautics and Space Administration., ed. Applications of GOES-8/9 data to hurricane analysis. National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. Applications of GOES-8/9 data to hurricane analysis. National Aeronautics and Space Administration, 1995.

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United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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Sidney, Roberts A., and Langley Research Center, eds. New devices for flow measurements: Hot film and burial wire sensors, infrared imagery, liquid crystal, and piezo-electric model : final report for the period ended May 15, 1990. National Aeronautics and Space Administration, Langley Research Center, 1991.

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Landsat-4 Science Characterization Early Results Symposium (1983 Greenbelt, Md.). Landsat-4 science characterization early results: Proceedings of the Landsat-4 Science Characterization Early Results Symposium, February 22-24, 1983, held at NASA Goddard Space Flight Center, Greenbelt, Maryland. Edited by Barker John L, United States. National Aeronautics and Space Administration, and Landsat-4 Early Results Symposium (1983 : Greenbelt, Md.). National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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L, Barker John, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, eds. Landsat-4 science characterization early results. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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Book chapters on the topic "Imagery sensors"

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Lavest, Jean-Marc, and Gérard Rives. "Calibration of Vision Sensors." In Visual Perception through Video Imagery. ISTE, 2010. http://dx.doi.org/10.1002/9780470611043.ch1.

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Deriche, Rachid. "Self-Calibration of Video Sensors." In Visual Perception through Video Imagery. ISTE, 2010. http://dx.doi.org/10.1002/9780470611043.ch2.

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Wang, Li, Huiqun Fu, Xiu-feng Zhang, Rong Yang, Ning Zhang, and Fengling Ma. "An Adaptive Feature Extraction and Classification Method of Motion Imagery EEG Based on Virtual Reality." In Wearable Sensors and Robots. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2404-7_8.

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Mourkousis, Georgios, Matthaios Protonotarios, Chrysostomos Antoniou, et al. "EURMARS: An Advanced Surveillance Platform to Improve the European Multiauthority Border Security Efficiency and Cooperation." In Security Informatics and Law Enforcement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62083-6_31.

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AbstractEuropean maritime border management is a complex and multifaceted task. EURMARS innovates border surveillance in Europe by addressing the main challenges of irregular migration attempts, smuggling, trafficking, as well as management of search and rescue operations and oil spill observation and monitoring in parallel with the coordination and cooperation among different authorities and agencies at the national and EU levels. EURMARS implements and intends to validate a 24/7 surveillance platform with the following characteristics: (i) provision for the integration of existing and future
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Massey, Richard, Logan T. Berner, Adrianna C. Foster, Scott J. Goetz, and Udayalakshmi Vepakomma. "Remote Sensing Tools for Monitoring Forests and Tracking Their Dynamics." In Advances in Global Change Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15988-6_26.

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AbstractRemote sensing augments field data and facilitates foresight required for forest management by providing spatial and temporal observations of forest characteristics at landscape and regional scales. Statistical and machine-learning models derived from plot-level field observations can be extrapolated to larger areas using remote sensing data. For example, instruments such as light detection and ranging (LiDAR) and hyperspectral sensors are frequently used to quantify forest characteristics at the stand to landscape level. Moreover, multispectral imagery and synthetic aperture radar (SA
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White, Devin A., and Christopher R. Davis. "A Fully Automated High-Performance Image Registration Workflow to Support Precision Geolocation for Imagery Collected by Airborne and Spaceborne Sensors." In Advances in Geocomputation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-22786-3_34.

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Knop, Karl. "Image Sensors." In Sensors. Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620173.ch10.

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Kosslyn, Stephen M. "Imagery, Mental." In Sensory System I. Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6647-6_18.

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Karadöller, Beril, Caner İmren, and Zeynep Koçel-Erdem. "The Exploration of the Coasts of Perinthos: What Does the Multibeam Bathymetry Survey Tell us?" In Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques. Firenze University Press, 2024. https://doi.org/10.36253/979-12-215-0556-6.54.

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The ancient city of Perinthos (Marmaraereglisi/Tekirdag/Istanbul), where researched with a systematic multidisciplinary archaeological project were initiated by the Ministry of Culture and Tourism in 2021, has the potential to accommodate both marine and land-based multidiscipline studies in a comprehensive approach. To investigate the traces of archaeological remains, an integrated geophysical survey was designed. As part of the project, a comprehensive multi-beam bathymetry study was carried out in the city's offshore zones, while geophysical studies were carried out on land. The bathymetry
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Hagn, Korbinian, and Oliver Grau. "Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation." In Deep Neural Networks and Data for Automated Driving. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_4.

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AbstractSynthetic, i.e., computer-generated imagery (CGI) data is a key component for training and validating deep-learning-based perceptive functions due to its ability to simulate rare cases, avoidance of privacy issues, and generation of pixel-accurate ground truth data. Today, physical-based rendering (PBR) engines simulate already a wealth of realistic optical effects but are mainly focused on the human perception system. Whereas the perceptive functions require realistic images modeled with sensor artifacts as close as possible toward the sensor, the training data has been recorded. This
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Conference papers on the topic "Imagery sensors"

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Hall, Natalie C., and Carl J. Legleiter. "Hyperspectral microscopy methods for building a spectral reference data set to support Spectral Mixture Analysis for Surveillance of Harmful Algal Blooms (SMASH)." In Optical Sensors. Optica Publishing Group, 2024. https://doi.org/10.1364/sensors.2024.stu1h.5.

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This study provides a proof-of-concept case study where cyanobacteria genera were differentiated using space-based hyperspectral imagery and a reference spectral dataset. Methods are also introduced to expand upon the reference spectral data using hyperspectral microscopy.
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Rampersad, Chris, and Miriam Cabero. "EarthDaily Constellation: daily global scientific quality imagery for environmental monitoring." In Sensors, Systems, and Next-Generation Satellites XXVIII, edited by Toshiyoshi Kimura, Sachidananda R. Babu, and Arnaud Hélière. SPIE, 2024. http://dx.doi.org/10.1117/12.3037730.

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Padilla-Zepeda, Efrain, Kevin Alonso, Raquel De Los Reyes, Deni Torres-Roman, and Avi Putri Pertiwi. "A Deep Learning Approach for Imagery Masking of Spectral Sensors." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642339.

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Harris, Toby, and Catie Allen. "The use of space-to-space non-Earth imagery (NEI) to underpin and de-risk space operations." In Sensors, Systems, and Next-Generation Satellites XXVIII, edited by Toshiyoshi Kimura, Sachidananda R. Babu, and Arnaud Hélière. SPIE, 2024. http://dx.doi.org/10.1117/12.3037045.

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Nissim, Samuel N., Tania Kleynhans, and William Thomas. "Radiometric calibration of low Earth orbit infrared imagery using a hybrid on-orbit and ground processing approach." In Sensors, Systems, and Next-Generation Satellites XXVIII, edited by Toshiyoshi Kimura, Sachidananda R. Babu, and Arnaud Hélière. SPIE, 2024. http://dx.doi.org/10.1117/12.3033817.

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He, Xiaoyu, Ouning Zhu, Mengfan Zou, Shaoping Shuai, and Xiaojian Xu. "Cloud detection for multispectral images of space-based Earth observational sensors using imagery simulation model." In Remote Sensing of Clouds and the Atmosphere XXIX, edited by Evgueni I. Kassianov and Simone Lolli. SPIE, 2024. http://dx.doi.org/10.1117/12.3028896.

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Sadik Hassan Hussein, Salma Yasser, Rudzidatul Akmam Dziyauddin, Mohd Nabil Muhtazaruddin, Yousef Jassim Yaghoobi, and Norashidah Md Din. "Development of AI Vision Inspection System for UAV Imagery Surveillance of Transmission Towers." In 2024 5th International Conference on Smart Sensors and Application (ICSSA). IEEE, 2024. https://doi.org/10.1109/icssa62312.2024.10788575.

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Cui, Qixuan, Xiaodan Zhang, Kemeng Xu, and Shuyi Wang. "A Study on the Classification Method of Motor Imagery EEG Signals Based on Band Filter Bank Common Space Pattern and Continuous Wavelet Transforms." In 2025 5th International Conference on Sensors and Information Technology (ICSI). IEEE, 2025. https://doi.org/10.1109/icsi64877.2025.11009976.

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Vollmerhausen, Richard. "Display of sampled imagery." In Passive Sensors, edited by Joseph S. Accetta and M. J. Cantella. SPIE, 1992. http://dx.doi.org/10.1117/12.2300250.

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Ippolito, Corey, and Ara Nefian. "Object classification from aerial visual imagery." In 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5689985.

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Reports on the topic "Imagery sensors"

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Hodgdon, Taylor, Anthony Fuentes, Brian Quinn, Bruce Elder, and Sally Shoop. Characterizing snow surface properties using airborne hyperspectral imagery for autonomous winter mobility. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42189.

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With changing conditions in northern climates it is crucial for the United States to have assured mobility in these high-latitude regions. Winter terrain conditions adversely affect vehicle mobility and, as such, they must be accurately characterized to ensure mission success. Previous studies have attempted to remotely characterize snow properties using varied sensors. However, these studies have primarily used satellite-based products that provide coarse spatial and temporal resolution, which is unsuitable for autonomous mobility. Our work employs the use of an Unmanned Aeriel Vehicle (UAV)
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Ruby, Jeffrey, Richard Massaro, John Anderson, and Robert Fischer. Three-dimensional geospatial product generation from tactical sources, co-registration assessment, and considerations. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46442.

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According to Army Multi-Domain Operations (MDO) doctrine, generating timely, accurate, and exploitable geospatial products from tactical platforms is a critical capability to meet threats. The US Army Corps of Engineers, Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL) is carrying out 6.2 research to facilitate the creation of three-dimensional (3D) products from tactical sensors to include full-motion video, framing cameras, and sensors integrated on small Unmanned Aerial Systems (sUAS). This report describes an ERDC-GRL processing pipeline comprising custom
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Jackson, Samuel, Christina Saltus, Molly Reif, and Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47649.

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Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem
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Falconer, David G. L51774 Remote Sensing of Hazardous Ground Movement about Buried Gas Transmission Lines. Pipeline Research Council International, Inc. (PRCI), 1997. http://dx.doi.org/10.55274/r0011973.

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Reviews the available sensors for monitoring hazardous ground movement. Our review was limited to airborne and spaceborne sensors for access, performance, and productivity considerations. It was observed that certain ground movement is comparatively localized, e.g., earthquake faulting, while other activity may extend for thousands of kilometers, e.g., frost heave. Accordingly, we have considered two operating modes for the sensor-platform system, namely, site-by-site and continuous corridor. To determine the suitability of the candidate sensors for pipeline monitoring, we have assessed the ex
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Marshall, Amber, Krystle Turner, Carol Richards, Marcus Foth, Michael Dezuanni, and Tim Neale. A case study of human factors of digital AgTech adoption: Condamine Plains, Darling Downs. Queensland University of Technology, 2021. http://dx.doi.org/10.5204/rep.eprints.227177.

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As global agricultural production methods and supply chains have become more digitised, farmers around the world are adopting digital AgTech such as drones, Internet of Things (IoT), remote sensors, blockchain, and satellite imagery to inform their on-farm decision-making. While early adopters and technology advocates globally are spruiking and realising the benefits of digital AgTech, many Australian farmers are reluctant or unable to participate fully in the digital economy. This is an important issue, as the Australian Government has said that digital farming is essential to meeting its tar
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Hodul, M., H. P. White, and A. Knudby. A report on water quality monitoring in Quesnel Lake, British Columbia, subsequent to the Mount Polley tailings dam spill, using optical satellite imagery. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330556.

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In the early morning on the 4th of August 2014, a tailings dam near Quesnel, BC burst, spilling approximately 25 million m3 of runoff containing heavy metal elements into nearby Quesnel Lake (Byrne et al. 2018). The runoff slurry, which included lead, arsenic, selenium, and vanadium spilled through Hazeltine Creek, scouring its banks and picking up till and forest cover on the way, and ultimately ended up in Quesnel Lake, whose water level rose by 1.5 m as a result. While the introduction of heavy metals into Quesnel Lake was of environmental concern, the additional till and forest cover scour
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Brickner, Michael S., and Ayelet Oettinger. Content Validity Requirements for Simulated Sensor Imagery. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387943.

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Maharjan, Sudan Bikash, Pradeep Dangol, Tenzing Chogyal Sherpa, et al. Insights behind the unexpected flooding in the Budhi Gandaki River, Gorkha, Nepal. International Centre for Integrated Mountain Development (ICIMOD), 2024. https://doi.org/10.53055/icimod.1084.

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On 21 April 2024, a flood from the glacial lake Birendra Tal was triggered by a massive ice avalanche caused by calving from the Manaslu Glacier. Manaslu, the eighth-highest mountain in the world at 8,163 meters above sea level, is located in west-central Nepal. The displacement wave resulted in the sudden release of water from the lake outlet into the Budhi Gandaki River in Gorkha district. This event was not a typical glacial lake outburst flood (GLOF), as the overflows did not breach the moraine dam, and no significant impact on the dam was observed post-event. However, the threat remains.
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Bonfil, David J., Daniel S. Long, and Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water
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Boopalan, Santhana. Aerial Wildlife Image Repository. Mississippi State University, 2023. http://dx.doi.org/10.54718/wvgf3020.

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The availability of an ever-improving repository of datasets allows machine learning algorithms to have a robust training set of images, which in turn allows for accurate detection and classification of wildlife. This repository (AWIR---Aerial Wildlife Image Repository) would be a step in creating a collaborative rich dataset both in terms of taxa of animals and in terms of the sensors used to observe (visible, infrared, Lidar etc.). Initially, priority would be given to wildlife species hazardous to aircrafts, and common wildlife damage-associated species. AWIR dataset is accompanied by a cla
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