- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 37th Chinese Control Conference (CCC) - Wuhan (2018.7.25-2018.7.27)] 2018 37th Chinese Control Conference (CCC) - Near-Infrared Spectrum of Coal Origin Identification Based on SVM Algorithm
摘要： Near infrared spectroscopy is introduced to analyze 243 coal samples of different origins of Australia, Canada, China, Indonesia and Russia, combined with the supportive vector machines (SVM) analysis method. With the pre-processed data from the Principal component analysis (PCA), six supportive vector machines with different kernel functions are employed to discriminate origins of coal samples, namely Linear SVM, Quadratic SVM, Cubic SVM, Fine Gaussian SVM, Medium Gaussian SVM and Coarse Gaussian SVM. Through comparison, Linear SVM has the best performance in prediction accuracy rate while better results are obtained using Medium Gaussian SVM taking accuracy rate and training time into account. It turns out that NIR spectroscopy combined with Medium Gaussian SVM can be used as a good non-destructive method to predict origins of coal, with an accuracy rate of 98.8%, which strengthens the supervision of coal quality.
关键词： Principal component analysis,K- fold cross validation,Supportive vector machines,Near infrared spectroscopy
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Jason-3 and Sentinel-3A Altimeter Validation Along the French Atlantic Coast in the Southern Bay of Biscay
摘要： Altimetry-derived sea surface heights (SSH) from the recently launched Jason-3 and Sentinel-3A missions were validated against records from seven tide gauges located along the French Atlantic coast in the southern Bay of Biscay. Comparisons between Jason-2 and Jason-3 based SSH were performed along-track when they were orbiting 80 seconds apart during the tandem mission that lasted more than six months. The benefits of the Synthetic Aperture Radar (SAR) acquisition mode on Sentinel-3A is compared to the classical Low Resolution Mode (LRM) on Jason-2 and 3 missions are analyzed.
关键词： coastal altimetry,tide gauge,validation,sea surface height
更新于2025-09-09 09:28:46
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GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign
摘要： The Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color imager in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of aerosol optical properties over East Asia since March 2011. This study presents improvements made to the GOCI Yonsei Aerosol Retrieval (YAER) algorithm together with validation results during the Distributed Regional Aerosol Gridded Observation Networks – Northeast Asia 2012 campaign (DRAGON-NE Asia 2012 campaign). The evaluation during the spring season over East Asia is important because of high aerosol concentrations and diverse types of Asian dust and haze. Optical properties of aerosol are retrieved from the GOCI YAER algorithm including aerosol optical depth (AOD) at 550 nm, fine-mode fraction (FMF) at 550 nm, single-scattering albedo (SSA) at 440 nm, ?ngstr?m exponent (AE) between 440 and 860 nm, and aerosol type. The aerosol models are created based on a global analysis of the Aerosol Robotic Networks (AERONET) inversion data, and covers a broad range of size distribution and absorptivity, including nonspherical dust properties. The Cox–Munk ocean bidirectional reflectance distribution function (BRDF) model is used over ocean, and an improved minimum reflectance technique is used over land. Because turbid water is persistent over the Yellow Sea, the land algorithm is used for such cases. The aerosol products are evaluated against AERONET observations and MODIS Collection 6 aerosol products retrieved from Dark Target (DT) and Deep Blue (DB) algorithms during the DRAGON-NE Asia 2012 campaign conducted from March to May 2012. Comparison of AOD from GOCI and AERONET resulted in a Pearson correlation coefficient of 0.881 and a linear regression equation with GOCI AOD = 1.083 × AERONET AOD ? 0.042. The correlation between GOCI and MODIS AODs is higher over ocean than land. GOCI AOD shows better agreement with MODIS DB than MODIS DT. The other GOCI YAER products (AE, FMF, and SSA) show lower correlation with AERONET than AOD, but still show some skills for qualitative use.
关键词： retrieval,AE,validation,YAER,SSA,FMF,AOD,DRAGON-NE Asia 2012,aerosol,GOCI
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Next Generation Fire Detection from Geostationary Satellites
摘要： The utility of Geostationary active fire detection and surveillance has recently been supplemented by two new algorithms developed by our group: the AHI-FSA (Advanced Himawari Imager - Fire Surveillance Algorithm) and the Broad Area Training (BAT) method [1], [2]. Here we present results from a large area validation of these products to support wildfire surveillance and mapping using the geostationary Himawari-8 satellite. The AHI-FSA/BAT algorithms were developed and tested on a number of case study areas in Western Australia. Initial results demonstrate a high potential as a wildfire surveillance algorithm providing high frequency (every 10 minutes) fire detections. However, the AHI-FSA and BAT products need to be validated over a large area to quantify the performance of the algorithms. This paper validates their performance in the Northern Territory of Australia (1.4 million km2) over a 10 day period by comparing AHI-FSA/BAT to well-established products from LEO satellites: MODIS (Moderate Resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite). This paper also discusses difficulties in validating high temporal resolution products with existing low temporal resolution LEO satellite products. Results indicate that the multi-resolution approach developed for AHI-FSA/BAT significantly improves fire detection. When compared to the MODIS thermal anomaly products, BAT omission error was only 2%. High temporal frequency data results in AHI-FSA/BAT detecting fires, at times, three hours before the MODIS overpass with much-enhanced detail on fire movement.
关键词： Wild fire surveillance,Fire detection,validation,Himawari
更新于2025-09-09 09:28:46
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The Polarimetric L-Band Imaging Synthetic Aperture Radar (PLIS): Description, Calibration, and Cross-Validation
摘要： The polarimetric L-band imaging synthetic aperture radar (PLIS) is a high spatial resolution (better than 6 m) airborne synthetic aperture radar system that has been dedicated to scientific research into civilian applications since 2010. The weight of PLIS is ～38 kg, allowing it to be installed aboard small low-cost aircraft, with two antennas used to measure the full backscatter matrix for a swath between 15° and 50° on each side of the flight direction. Calibration based on a total of 96 calibration points and a homogeneous forest during the two recent soil moisture active passive experiments (SMAPEx-4 and 5) showed an overall radiometric accuracy of 0.58 dB (root-mean-square error) over trihedral passive radar calibrators. Independent evaluation based on polarimetric active radar calibrators showed an amplitude imbalance of 0.17 dB with a standard deviation of 0.15 dB and a phase imbalance of 3.87° with a standard deviation of 2.86°. Two calibrated phased-array L-Band synthetic aperture radar-2 (PALSAR-2) images with different observation modes (ScanSAR and Stripmap) were compared with the calibrated PLIS images. The agreement between PALSAR-2 Stripmap and PLIS had a root mean square difference of 1.27 dB and a correlation coefficient of 0.87. Further comparisons over different landcover types confirmed that homogeneous forest and grassland areas constitute optimal targets for cross-validation and/or calibration.
关键词： Calibration and validation,phased-array L-Band synthetic aperture radar-2 (PALSAR-2),cross-calibration,synthetic aperture radar (SAR),polarimetric L-band imaging SAR (PLIS)
更新于2025-09-09 09:28:46
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Reflectance-Based Imaging Spectrometer Error Budget Field Practicum at the Railroad Valley Test Site, Nevada [Technical Committees]
摘要： Calibration and validation determine the quality and integrity of the data provided by sensors and have enormous downstream impacts on the accuracy and reliability of the products generated by these sensors. With the imminent launch of the next generation of spaceborne imaging spectroscopy sensors, the IEEE Geoscience and Remote Sensing Society’s (GRSS’s) Geoscience Spaceborne Imaging Spectroscopy Technical Committee (GSIS TC) initiated a calibration and validation initiative. This article reports on a recent reflectance-based imaging spectrometer error budget field practicum focused on radiometric calibration of spaceborne imaging spectroscopy sensors. The field exercise, conducted at Railroad Valley in Nevada, provided valuable training for personnel in a variety of Earth observation (EO) areas, from engineers developing future sensors to calibration scientists actively working in the field.
关键词： validation,radiometric calibration,imaging spectroscopy,calibration,vicarious calibration
更新于2025-09-09 09:28:46
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Direct Determination of Ni2+-Capacity of IMAC Materials Using Near-Infrared Spectroscopy
摘要： The present paper reports a new method for the quanti?cation of the Ni2+-capacity of an immobilized metal af?nity chromatography (IMAC) material using near-infrared spectroscopy (NIRS). Conventional analyses using UV absorption spectroscopy or atomic absorption spectrometry (AAS) need to dissolve the silica-based metal chelate sorbent as sample pretreatment. In the ?rst step, those methods were validated on the basis of an ideal homogenous NiSO4-solution and unveiled that UV with an intermediate precision of 2.6% relative standard deviation (RSD) had an advantage over AAS with an intermediate precision of 6.5% RSD. Therefore, UV analysis was chosen as reference method for the newly established NIRS model which has the advantage of being able to measure the material directly in diffuse re?ection mode. Partial least squares regression (PLSR) analysis was used as multivariate data analysis tool for quanti?cation. The best PLSR result obtained was: coef?cient of determination (R2) = 0.88, factor = 2, root mean square error of prediction (RMSEP) = 22 μmol/g (test-set validation) or 7.5% RSDPLSR. Validation of the Ni2+-capacity using UV absorption spectroscopy resulted in an intermediate precision of ±18 μmol/g or 5.0% RSD. Therefore, NIRS provides a fast alternative analysis method without the need of sample preparation.
关键词： Ni2+-capacity,partial least squares regression,IMAC,near-infrared spectroscopy,method validation
更新于2025-09-09 09:28:46
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A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering—Part 2: Application to XCO2 Retrievals from OCO-2
摘要： Satellite retrievals of the atmospheric dry-air column-average mole fraction of CO2 (XCO2) based on hyperspectral measurements in appropriate near (NIR) and short wave infrared (SWIR) O2 and CO2 absorption bands can help to answer important questions about the carbon cycle but the precision and accuracy requirements for XCO2 data products are demanding. Multiple scattering of light at aerosols and clouds can be a significant error source for XCO2 retrievals. Therefore, so called full physics retrieval algorithms were developed aiming to minimize scattering related errors by explicitly fitting scattering related properties such as cloud water/ice content, aerosol optical thickness, cloud height, etc. However, the computational costs for multiple scattering radiative transfer (RT) calculations can be immense. Processing all data of the Orbiting Carbon Observatory-2 (OCO-2) can require up to thousands of CPU cores and the next generation of CO2 monitoring satellites will produce at least an order of magnitude more data. For this reason, the Fast atmOspheric traCe gAs retrievaL FOCAL has been developed reducing the computational costs by orders of magnitude by approximating multiple scattering effects with an analytic solution of the RT problem of an isotropic scattering layer. Here we confront FOCAL for the first time with measured OCO-2 data and protocol the steps undertaken to transform the input data (most importantly, the OCO-2 radiances) into a validated XCO2 data product. This includes preprocessing, adaptation of the noise model, zero level offset correction, post-filtering, bias correction, comparison with the CAMS (Copernicus Atmosphere Monitoring Service) greenhouse gas flux inversion model, comparison with NASA’s operational OCO-2 XCO2 product, and validation with ground based Total Carbon Column Observing Network (TCCON) data. The systematic temporal and regional differences between FOCAL and the CAMS model have a standard deviation of 1.0 ppm. The standard deviation of the single sounding mismatches amounts to 1.1 ppm which agrees reasonably well with FOCAL’s average reported uncertainty of 1.2 ppm. The large scale XCO2 patterns of FOCAL and NASA’s operational OCO-2 product are similar and the most prominent difference is that FOCAL has about three times less soundings due to the inherently poor throughput (11%) of the MODIS (moderate-resolution imaging spectroradiometer) based cloud screening used by FOCAL’s preprocessor. The standard deviation of the difference between both products is 1.1 ppm. The validation of one year (2015) of FOCAL XCO2 data with co-located ground based TCCON observations results in a standard deviations of the site biases of 0.67 ppm (0.78 ppm without bias correction) and an average scatter relative to TCCON of 1.34 ppm (1.60 ppm without bias correction).
关键词： remote sensing,CO2,validation,OCO-2,Satellite
更新于2025-09-09 09:28:46
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Experimental analysis and numerical validation of the solar Dish/Stirling system connected to the electric grid
摘要： The use of solar-powered Stirling engines to convert thermal energy into electricity is a promising and renewable technological solution that can contribute to reducing dependence on fossil fuels for electricity generation. Unfortunately, the lack of experimental performance data and operating parameters for this type of technology limits its detailed characterization, difficult its modeling and design and consequently its utilization. This paper aims to validate the mathematical model of the Dish/Stirling system previously published by Mendoza et al. (2017) with the TRINUM system, installed at the Federal University of Itajubá-Brazil. For nominal conditions, the Dish/Stirling system generates an electric power of 1.00 kW at a solar irradiation of 725 W/m2 with a system overall efficiency of 17.6%. The results show that for solar irradiance values between 520 and 950 W/m2 the experimental tests and the results of the mathematical modeling do not present considerable differences, obtaining an electric power of 1,089 kWe and an efficiency of 17.98%, which represents deviations in the range of 2% to 12%.
关键词： Energy Conversion,Solar Concentrator,Numerical validation,Stirling Engine,Solar Energy,Thermal analysis
更新于2025-09-09 09:28:46
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Carbon dioxide quantified by the infrared in evaluation of respiratory activity of wheat seeds
摘要： The objective of this study was to develop and validate the methodology of carbon dioxide concentration in the evaluation of vigor of Triticum aestivum L. seeds based on infrared spectroscopy. The proposed method quantifies CO2 content using a drag system and exhaustion to the gas released by the seeds. Samples of 50 seeds of six lots of cultivar CD 123 were incubated at temperatures of 15, 25 and 40 °C. The CO2 content released after 1, 3, 6, 9, 12 and 24 h of incubation were quantified. Additionally, the percentage of normal seedlings emerged in the field were evaluated. The simple correlation coefficients were evaluated among tests. After determining the reading conditions, the precision and accuracy of the proposed method were evaluated, using 15 lots of seeds. For the evaluation of the respiratory activity in Triticum aestivum seeds, a sample of 25 seeds, incubated at 25 °C for a minimum of 12 h is recommended since it allows to classify lots with different levels of vigor and predict the establishment of seedlings in the field, being the appropriate method for measuring CO2 as it externalizes precision between successive measurements and agreement with the reference method.
关键词： infrared spectroscopy,CO2,validation method,Triticum aestivum L.
更新于2025-09-09 09:28:46