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Yayu Yang, Kun Shang, Chenchao Xiao, Changkun Wang and Hongzhao Tang
Estimation of soil organic matter content (SOMC) is essential for soil quality evaluation. Compared with traditional multispectral remote sensing for SOMC mapping, the distribution of SOMC in a certain area can be obtained quickly by using hyperspectral ...
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Jasper Knight and Mohamed A. M. Abd Elbasit
Remote sensing of coastal sediments for the purpose of automated mapping of their physical properties (grain size, mineralogy and carbonate content) across space has not been widely applied globally or in South Africa. This paper describes a baseline stu...
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Michael Li, Santoso Wibowo, Wei Li and Lily D. Li
Extreme learning machine (ELM) is a popular randomization-based learning algorithm that provides a fast solution for many regression and classification problems. In this article, we present a method based on ELM for solving the spectral data analysis pro...
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Yisak Kim, Juyoung Park and Hyungsuk Kim
Acquisition times and storage requirements have become increasingly important in signal-processing applications, as the sizes of datasets have increased. Hence, compressed sensing (CS) has emerged as an alternative processing technique, as original signa...
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Sugianto Sugianto,Shawn Laffan
Pág. 30 - 39
Abstract - The surface reflectance anisotropy can be estimated by directional reflectance analysis through the collection of multi-angular spectral data. Proper characterization of the surface anisotropy is an important element in the successful interpre...
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Silvia Pennino, Antonio Angrisano, Vincenzo Della Corte, Giampaolo Ferraioli, Salvatore Gaglione, Anna Innac, Elena Martellato, Pasquale Palumbo, Vincenzo Piscopo, Alessandra Rotundi and Antonio Scamardella
A parametric wave spectrum resembling procedure is applied to detect the sea state parameters, namely the wave peak period and significant wave height, based on the measurement and analysis of the heave and pitch motions of a vessel in a seaway, recorded...
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Juan Botero-Valencia, Erick Reyes-Vera, Elizabeth Ospina-Rojas and Flavio Prieto-Ortiz
In this study, a novel system was designed to enhance the efficiency of data acquisition in a portable and compact instrument dedicated to the spectral analysis of various surfaces, including plant leaves, and materials requiring characterization within ...
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Milton Martínez-Julca, Renny Nazario-Naveda, Moises Gallozzo-Cárdenas, Segundo Rojas-Flores, Hector Chinchay-Espino, Amilu Alvarez-Escobedo and Emzon Murga-Torres
Nowadays, nutritional foods have a great impact on healthy diets. In particular, maca, oatmeal, broad bean, soybean, and algarrobo are widely used in different ways in the daily diets of many people due to their nutritional components. However, many of t...
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Marcin Kolodziej, Andrzej Majkowski, Remigiusz J. Rak and Przemyslaw Wiszniewski
One approach employed in brain?computer interfaces (BCIs) involves the use of steady-state visual evoked potentials (SSVEPs). This article examines the capability of artificial intelligence, specifically convolutional neural networks (CNNs), to improve S...
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Sergii Babichev, Lyudmyla Yasinska-Damri, Igor Liakh and Jirí ?kvor
The development of hybrid models focused on gene expression data processing for the allocation of differentially expressed and mutually correlated genes is one of the current directions in modern bioinformatics. The solution to this problem can allow us ...
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Giorgio Licciardi, Costantino Del Gaudio and Jocelyn Chanussot
Hyperspectral analysis is a well-established technique that can be suitably implemented in several application fields, including materials science. This approach allows us to deal with data samples containing spatial and spectral information at very high...
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Gang Guo, Bingxin Liu and Chengyu Liu
Remote sensing is an important method for monitoring marine oil-spill accidents. However, methods for measuring oil-film thickness remain insufficient. Due to the stable differences in the surface emissivity and temperature of oil and water, the oil film...
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Maliheh Arekhi, Cigdem Goksel, Fusun Balik Sanli and Gizem Senel
This study aims to test the spectral and spatial consistency of Sentinel-2 and Landsat-8 OLI data for the potential of monitoring longos forests for four seasons in Igneada, Turkey. Vegetation indices, including Normalized Difference Vegetation Index (ND...
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Ján Erdélyi, Alojz Kopácik and Peter Kyrinovic
Weather conditions and different operational loads often cause changes in essential parts of engineering structures, and this affects the static and dynamic behavior and reliability of these structures. Therefore, geodetic monitoring is an integral part ...
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Uri Kushnir and Vladimir Frid
Modern studies which dealt with the frequency domain analysis showed that a frequency-domain approach has an essential advantage and mentioned an inner qualitative relationship between the subsurface structure and its frequency spectra. This paper deals ...
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Lenka Starková
The variability of currently available remote sensing datasets raises the question of which specific processing methods should be used for feature detection and feature extraction in both large and small-scale overhead images. In some cases, particular a...
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Alfred R. Osborne
Nonlinear Fourier Analysis (NLFA) as developed herein begins with the nonlinear Schrödinger equation in two-space and one-time dimensions (the 2+1 NLS equation). The integrability of the simpler nonlinear Schrödinger equation in one-space and one-time di...
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Diogo Santos, Tiago Abreu, Paulo A. Silva and Paulo Baptista
When waves propagate in coastal areas at depths lower than one half the wavelength, they exhibit a different signature at the sea surface and the observed wavelength pattern enables inferring bathymetries. Commonly, a spectral analysis using the fast Fou...
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Giulia Sofia, Anette Eltner, Efthymios Nikolopoulos and Christopher Crosby
Digital Terrain analysis (DTA) and modeling has been a flourishing interdisciplinary field for decades, with applications in hydrology, geomorphology, soil science, engineering projects and computer sciences. Currently, DTA is characterized by a prolifer...
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Alessandro Chiaudani, Diego Di Curzio, William Palmucci, Antonio Pasculli, Maurizio Polemio and Sergio Rusi
In this research, univariate and bivariate statistical methods were applied to rainfall, river and piezometric level datasets belonging to 24-year time series (1986?2009). These methods, which often are used to understand the effects of precipitation on ...
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