Relevant bibliographies by topics / Quasi-Hyperspectral Data

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Academic literature on the topic 'Quasi-Hyperspectral Data'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Quasi-Hyperspectral Data"

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Matthes, J. H., S. H. Knox, C. Sturtevant, O. Sonnentag, J. Verfaillie, and D. Baldocchi. "Predicting landscape-scale CO<sub>2</sub> flux at a pasture and rice paddy with long-term hyperspectral canopy reflectance measurements." Biogeosciences 12, no. 15 (2015): 4577–94. http://dx.doi.org/10.5194/bg-12-4577-2015.

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Abstract. Measurements of hyperspectral canopy reflectance provide a detailed snapshot of information regarding canopy biochemistry, structure and physiology. In this study, we collected 5 years of repeated canopy hyperspectral reflectance measurements for a total of over 100 site visits within the flux footprints of two eddy covariance towers at a pasture and rice paddy in northern California. The vegetation at both sites exhibited dynamic phenology, with significant interannual variability in the timing of seasonal patterns that propagated into interannual variability in measured hyperspectr
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Tuşa, Laura, Mahdi Khodadadzadeh, Cecilia Contreras, et al. "Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data." Remote Sensing 12, no. 7 (2020): 1218. http://dx.doi.org/10.3390/rs12071218.

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Due to the extensive drilling performed every year in exploration campaigns for the discovery and evaluation of ore deposits, drill-core mapping is becoming an essential step. While valuable mineralogical information is extracted during core logging by on-site geologists, the process is time consuming and dependent on the observer and individual background. Hyperspectral short-wave infrared (SWIR) data is used in the mining industry as a tool to complement traditional logging techniques and to provide a rapid and non-invasive analytical method for mineralogical characterization. Additionally,
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Verma, Neeharika, Steven Lohrenz, Sumit Chakraborty, and Cédric G. Fichot. "Underway Hyperspectral Bio-Optical Assessments of Phytoplankton Size Classes in the River-Influenced Northern Gulf of Mexico." Remote Sensing 13, no. 17 (2021): 3346. http://dx.doi.org/10.3390/rs13173346.

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High inflows of freshwater from the Mississippi and Atchafalaya rivers into the northern Gulf of Mexico during spring contribute to strong physical and biogeochemical gradients which, in turn, influence phytoplankton community composition across the river plume–ocean mixing zone. Spectral features representative of bio-optical signatures of phytoplankton size classes (PSCs) were retrieved from underway, shipboard hyperspectral measurements of above-water remote sensing reflectance using the quasi-analytical algorithm (QAA_v6) and validated against in situ pigment data and spectrophotometric an
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Pang, Li, Weizhen Gu, and Xiangyong Cao. "TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising." Remote Sensing 14, no. 18 (2022): 4598. http://dx.doi.org/10.3390/rs14184598.

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We propose a new deep neural network termed TRQ3DNet which combines convolutional neural network (CNN) and transformer for hyperspectral image (HSI) denoising. The network consists of two branches. One is built by 3D quasi-recurrent blocks, including convolution and quasi-recurrent pooling operation. Specifically, the 3D convolution can extract the spatial correlation within a band, and spectral correlation between different bands, while the quasi-recurrent pooling operation is able to exploit global correlation along the spectrum. The other branch is composed of a series of Uformer blocks. Th
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Morata, Miguel, Bastian Siegmann, Pablo Morcillo-Pallarés, Juan Pablo Rivera-Caicedo, and Jochem Verrelst. "Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer." Remote Sensing 13, no. 21 (2021): 4368. http://dx.doi.org/10.3390/rs13214368.

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The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fitting method (SFM) are computationally expensive. To bypass this computational load, this work aims to approximate the SFM-based SIF retrieval by means of statistical learning, i.e., emulation. While emulators emerged as fast surrogate models of simulators, the accuracy-speedup trade-offs are still to be analyzed when the emulation concept is applied to expe
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Garcia Millan, Virginia, and Arturo Sanchez-Azofeifa. "Quantifying Changes on Forest Succession in a Dry Tropical Forest Using Angular-Hyperspectral Remote Sensing." Remote Sensing 10, no. 12 (2018): 1865. http://dx.doi.org/10.3390/rs10121865.

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The tropical dry forest (TDF) is one the most threatened ecosystems in South America, existing on a landscape with different levels of ecological succession. Among satellites dedicated to Earth observation and monitoring ecosystem succession, CHRIS/PROBA is the only satellite that presents quasi-simultaneous multi-angular pointing and hyperspectral imaging. These two characteristics permit the study of structural and compositional differences of TDFs with different levels of succession. In this paper, we use 2008 and 2014 CHRIS/PROBA images from a TDF in Minas Gerais, Brazil to study ecosystem
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Stankevich, Sergey. "Accuracy of narrow-band spectral indices estimation by wide-band remote sensing data." Ukrainian journal of remote sensing 9, no. 1 (2022): 4–10. http://dx.doi.org/10.36023/ujrs.2022.9.1.209.

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Narrow-band spectral indices are quite informative and important in various applications of remote sensing – to assess the condition of vegetation, soils, water bodies and other land surface formations. However, direct measurement of narrow-band spectral indices requires hyperspectral imaging. But most of modern multispectral aerospace imaging systems are wide-band. Accordingly, it is not possible to calculate the narrow-band index directly from wide-band remote sensing data. This paper discusses approaches to the narrow-band spectral indices restoration by wide-band remote sensing data using
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Conrad, Brianna, and Behrang H. Hamadani. "Local voltage mapping of solar cells in the presence of localized radiative defects." Applied Physics Letters 121, no. 3 (2022): 031102. http://dx.doi.org/10.1063/5.0097572.

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Hyperspectral electroluminescence and photoluminescence imaging of photovoltaic materials and devices produces three-dimensional spatially and spectrally resolved luminescence data, which can be calibrated to an absolute scale, enabling the extraction of high resolution maps of quantities, such as the local voltage (quasi-Fermi-level splitting). This extraction requires supplemental measurements of external quantum efficiency (EQE), but these do not have the same spatial resolution. Previously, assumptions have been made to overcome this limitation. In this work, we evaluate these assumptions
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Alparone, Luciano, Alberto Arienzo, and Andrea Garzelli. "Spatial Resolution Enhancement of Vegetation Indexes via Fusion of Hyperspectral and Multispectral Satellite Data." Remote Sensing 16, no. 5 (2024): 875. http://dx.doi.org/10.3390/rs16050875.

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The definition and calculation of a spectral index suitable for characterizing vegetated landscapes depend on the number and widths of the bands of the imaging instrument. Here, we point out the advantages of performing the fusion of hyperspectral (HS) satellite data with the multispectral (MS) bands of Sentinel-2 to calculate such vegetation indexes as the normalized area over reflectance curve (NAOC) and the red-edge inflection point (REIP), which benefit from the availability of quasi-continuous pixel spectra. Unfortunately, MS data may be acquired from satellite platforms with very high sp
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Khramov, D. O., and O. L. Volosheniuk. "Analysis of the state of the art and the trends in the development of the target characteristics of orbital constellations of small agriculture-oriented Earth re-mote sensing spacecraft." Technical mechanics 2023, no. 4 (2023): 31–39. http://dx.doi.org/10.15407/itm2023.04.031.

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The goal of this paper is to assess the existing capabilities of orbital constellations of agriculture-oriented Earth remote sensing spacecraft and the prospects for their development in the nearest future. The paper analyzes the state of the art and the trends in the development of modern orbital constellations of private companies’ small Earth remote sensing satellites used in solving agricultural problems. Important sources of information in the space industry, such as NewSpace Index, Gunter's Space Page, and WMO OSCAR, were analyzed. 52 constellations of spacecraft for optical multispectra
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Dissertations / Theses on the topic "Quasi-Hyperspectral Data"

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Paul, Subir. "Hyperspectral Remote Sensing for Land Cover Classification and Chlorophyll Content Estimation using Advanced Machine Learning Techniques." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4537.

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In the recent years, remote sensing data or images have great potential for continuous spatial and temporal monitoring of Earth surface features. In case of optical remote sensing, hyperspectral (HS) data contains abundant spectral information and these information are advantageous for various applications. However, high-dimensional HS data handling is a very challenging task. Different techniques are proposed as a part of this thesis to handle the HS data in a computationally efficient manner and to achieve better performance for land cover classification and chlorophyll content prediction. P
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Conference papers on the topic "Quasi-Hyperspectral Data"

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Barret, Michel, Jean-Louis Gutzwiller, Isidore Paul Akam Bita, and Florio Dalla Vedova. "Lossy Hyperspectral Images Coding with Exogenous Quasi Optimal Transforms." In 2009 Data Compression Conference (DCC). IEEE, 2009. http://dx.doi.org/10.1109/dcc.2009.8.

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