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Showing 21 - 40 results of 46 for search 'detection backscattering (coefficient OR efficient)', query time: 0.10s Refine Results
  1. 21

    Event Discrimination Using Phase Correlation in Φ-OTDR System Based on Coherent Detection by Zhen Zhong, Feng Wang, Xuping Zhang

    Published 2018-01-01
    “…We report a novel method of event discrimination using phase correlation in Φ-OTDR system based on coherent detection. The phase change demodulated from the Rayleigh backscattering light is the result of the event acting on the optical fiber. …”
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    Article
  2. 22

    Scalable Detection of Underground Water Leaks in Dense Urban Environments Using L-Band SAR and Machine Learning by E. Ali, E. Ali, L. Xie, A. Sani-Mohammed, W. Xu, T. Zayed

    Published 2025-07-01
    “…Features extracted via Gray-Level Co-occurrence Matrix (GLCM) metrics and backscattering coefficients were used to train various machine learning, deep learning, and ensemble learning models, with hyperparameter optimization performed using a grid search algorithm. …”
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  3. 23

    Detection of Inverted Channels Using Sentinel-1 Data and Sentinel-2 Data on Google Earth Engine: A Comparative Analysis by Xuhua Weng

    Published 2025-01-01
    “…The proposed workflow provides an efficient method for detecting inverted channel, offering a valuable tool for geomorphological research, landscape evolution studies, and hydrological exploration in arid environments.…”
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    Article
  4. 24

    Possibilities of laser location for remote monitoring of marine organisms (analytic review) by Valery I. Kudryavtsev

    Published 2014-03-01
    “…Volume-backscattering coefficients for the lidar with wave-length 532 nm and the acoustic sonar are compared for schools of some fish species. …”
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    Article
  5. 25

    Oil Spill Detection in PolSAR Imagery Using Composite Scattering Power Entropy and Multiscale Hybrid Feature Fusion Network by Deliang Xiang, Yu Lu, Dongdong Guan, Guannan Li, Jianda Cheng, Bangjie Li

    Published 2025-01-01
    “…Polarimetric synthetic aperture radar (SAR) is effective in detecting oil spills by distinguishing backscatter differences between seawater and oil slicks. …”
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    Article
  6. 26

    Design and Evaluation of a Cloud Computing System for Real-Time Measurements in Polarization-Independent Long-Range DAS Based on Coherent Detection by Abdusomad Nur, Almaz Demise, Yonas Muanenda

    Published 2024-12-01
    “…We employ the CloudSim tool to design and evaluate a cloud computing scheme for long-range, polarization-independent DAS using coherent detection of Rayleigh backscattering signals and uncover valuable insights on the evolution of the processing times for a diverse range of Virtual Machine (VM) capacities as well as sizes of blocks of processed data. …”
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    Article
  7. 27

    The Capabilities of Optical and C-Band Radar Satellite Data to Detect and Understand Faba Bean Phenology over a 6-Year Period by Frédéric Baup, Rémy Fieuzal, Clément Battista, Herivanona Ramiakatrarivony, Louis Tournier, Serigne-Fallou Diarra, Serge Riazanoff, Frédéric Frappart

    Published 2025-06-01
    “…Using Sentinel-1, Sentinel-2, and Landsat-8 data, temporal variations in NDVI and radar backscatter coefficients (γ<sup>0</sup><sub>VV</sub>, γ<sup>0</sup><sub>VH</sub>, and γ<sup>0</sup><sub>VH/VV</sub>) are examined to assess crop growth, detect anomalies, and evaluate the impact of climatic conditions and sowing strategies. …”
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  8. 28
  9. 29

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

    Published 2025-05-01
    “…Dual-polarization Sentinel-1 SAR data (VH and VV) were processed by computing the VH/VV backscatter ratio, and the resulting ratio image was classified using a supervised Random Forest classifier to delineate water and land. …”
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    Article
  10. 30

    Enhanced U-Net for Underwater Laser Range-Gated Image Restoration: Boosting Underwater Target Recognition by Peng Liu, Shuaibao Chen, Wei He, Jue Wang, Liangpei Chen, Yuguang Tan, Dong Luo, Wei Chen, Guohua Jiao

    Published 2025-04-01
    “…However, conventional underwater imaging methods often suffer from severe backscattering noise, limited detection range, and reduced image clarity—challenges that are exacerbated in turbid waters. …”
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    Article
  11. 31

    Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

    Published 2024-12-01
    “…We propose an innovative interferometric sensing approach utilizing a Mach–Zehnder interferometer (MZI) combined with a time forest neural network (TFNN) for intrusion detection based on signal patterns. This method leverages advanced sensor characterization techniques and deep learning to improve accuracy and efficiency. …”
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    Article
  12. 32

    Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

    Published 2025-02-01
    “…DAS makes use of Rayleigh backscattering to detect and measure dynamic strain and vibrations over extended distances. …”
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    Article
  13. 33

    EVALUATION OF THE OBJECTIVES POLARIZATION DISCRIMINATION AGAINST PASSIVE HINDRANCES WITH THE DEVICE, BASED ON CONSIDERATION OF THE SPATIAL VARIATION OF THE FARADAY ROTATION ANGLE I... by Volodymyr I. Mirnenko, Evgen A.Yufa A. Yufa, Maxim N. Zhuravskij

    Published 2018-08-01
    “…In order to determine the operability of the device under various conditions and to evaluate its efficiency, the signal-to-noise ratio at the output of the device is calculated in the case where the backscattering matrix of the target and the matrix of the interference element (for example, dipole, angle reflector, etc.) are not diagonal, m .e. when a cross-polarization component appears when the signal from the target or from the interference element is reflected.…”
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  14. 34

    ACDL/DQ-1 calibration algorithms – Part 1: Nighttime 532&thinsp;nm polarization and the high-spectral-resolution channel by F. Meng, J. Tang, G. Dai, W. Long, K. Sun, Z. Zhang, X. Song, X. Song, J. Liu, W. Chen, S. Wu, S. Wu, S. Wu

    Published 2025-05-01
    “…The paper also assesses the results of the calibration procedure by analyzing the errors of calibration coefficients and validating the attenuated backscatter coefficient results. …”
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    Article
  15. 35

    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. …”
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    Article
  16. 36

    Plankton Distribution Analysis with Underwater Acoustic Remote Sensing by A Abdullah, Pratomo D.G., Khomsin

    Published 2025-01-01
    “…This technology utilises sound waves to detect, measure and map the distribution of marine biota by analysing the backscatter strength (Sv). …”
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    Article
  17. 37

    Research on atmospheric temperature fine measurements from the near surface to 60&thinsp;km altitude based on an integrated lidar system by Z. Wang, T. Guo, T. Guo, X. Li, X. Li, C. Chen, D. Liu, L. Qu, H. Li, H. Li, X. Wang

    Published 2025-03-01
    “…Below 16 <span class="inline-formula">km</span>, the lidar-derived temperatures exhibited strong agreement with radiosonde data, with a correlation coefficient of 0.95 and a root-mean-square error (RMSE) of 3.2 <span class="inline-formula">K</span>. …”
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  18. 38

    CSIR South Africa mobile LIDAR—First scientific results: comparison with satellite, sun photometer and model simulations by M. Tesfaye, W. Alemu, D. Moema, A. Sharma, C. Bollig, G. Mengistu, V. Sivakumar

    Published 2009-11-01
    “…The LIDAR results are compared with aerosol extinction measurements from the Stratosphere Aerosol Gas Experiment (SAGE) II, optical depth derived from sun photometers employed under the AErosol RObotic NETwork (AERONET) and backscatter coefficients simulated from weather balloon humidity measurements.…”
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  19. 39
  20. 40

    Cross-validations of the Aeolus aerosol products and new developments with airborne high-spectral-resolution lidar measurements above the tropical Atlantic during JATAC by D. Trapon, H. Baars, A. A. Floutsi, S. Bley, M. Haarig, A. Lacour, A. Lacour, T. Flament, T. Flament, A. Dabas, A. R. Nehrir, F. Ehlers, F. Ehlers, D. Huber

    Published 2025-08-01
    “…For the first time, the optical properties of particles (i.e. backscatter, extinction, attenuated backscatter coefficients, and depolarization ratios) have been measured for extended tropospheric sections collocated with the Aeolus satellite overpasses with limited geolocation and time offsets. …”
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    Article