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Showing 21 - 28 results of 28 for search 'selection backscattering (coefficiency OR efficiency)', query time: 0.07s Refine Results
  1. 21

    Discussion of the spectral slope of the lidar ratio between 355 and 1064 nm from multiwavelength Raman lidar observations by M. Haarig, R. Engelmann, H. Baars, B. Gast, D. Althausen, A. Ansmann

    Published 2025-07-01
    “…It is a key parameter in aerosol typing and an essential quantity to derive the extinction coefficient from elastic backscatter lidars like the spaceborne Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) or ceilometer observations. …”
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  2. 22

    Raman Spectroscopy Principles for in vivo Diagnostic by Ellipsoidal Reflectors by Bezuglyi Mikhail, Bezuglaya Natalia

    Published 2019-09-01
    “…Additionally, the investigation demonstrates the efficiency of ellipsoidal photometry method for registration of Raman scattering signal on test-solutions. …”
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  3. 23

    Machine Learning-Driven Rapid Flood Mapping for Tropical Storm Imelda Using Sentinel-1 SAR Imagery by Reda Amer

    Published 2025-05-01
    “…The proposed approach eliminates the need for manual threshold selection, thereby reducing misclassification errors due to speckle noise and land cover heterogeneity. …”
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  4. 24

    Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

    Published 2025-06-01
    “…The variables include spectral bands, vegetation and soil indices, gray-level co-occurrence matrices (GLCM), backscatter coefficients, polarimetric decompositions, and topographic indices. …”
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  5. 25

    Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

    Published 2024-12-01
    “…The proposed model is trained with three sampling methods: random sampling, which ignores class imbalance present in the acoustic survey data; class-balanced sampling, which ensures equal representation of known categories; and intensity-based sampling, which selects data to capture backscatter variations. The quality of extracted features is then evaluated and compared. …”
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  6. 26

    Kinetic‐Controlled Crystallization of α‐FAPbI3 Inducing Preferred Crystallographic Orientation Enhances Photovoltaic Performance by Sooeun Shin, Seongrok Seo, Seonghwa Jeong, Anir S. Sharbirin, Jeongyong Kim, Hyungju Ahn, Nam‐Gyu Park, Hyunjung Shin

    Published 2023-05-01
    “…With microscopic observations, for example, electron backscatter diffraction and selected area electron diffraction, it is examined that higher concentration of MACl induces slower crystallization kinetics, resulting in larger grain size and [100] preferred orientation. …”
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  7. 27

    Fluorescence spectra of atmospheric aerosols by J. Reichardt, F. Lauermann, O. Behrendt

    Published 2025-06-01
    “…The fluorescence maxima are below 500 <span class="inline-formula">nm</span>, and a linear decrease in the spectral backscatter coefficient can be seen at longer wavelengths; the spectral fluorescence capacity is low (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M6" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>&lt;</mo><mn mathvariant="normal">1</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">6</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="fcbbb2805ab9534794f91444ae9ac33e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-5857-2025-ie00002.svg" width="52pt" height="14pt" src="acp-25-5857-2025-ie00002.png"/></svg:svg></span></span> <span class="inline-formula">nm<sup>−1</sup></span>). …”
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  8. 28

    Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study by Thomas Hoefler, Ayako Ikeda, Toshio Osada, Toru Hara, Kyoko Kawagishi, Takahito Ohmura

    Published 2025-08-01
    “…While the necessary topographic data is typically acquired using atomic force microscopy, a significant speedup was achieved by automatic indent detection and scanning using Angular selective Backscatter FE-SEM analysis. As a method to rapidly assemble comprehensive and consistent P-S-P datasets, we expect it to facilitate efficient alloy design, given a vast majority of modeling approaches still heavily rely on empirical data.…”
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