A method based on iterative morphological filtering and multiple scattering for detecting layer boundaries and extinction coefficients with LIDAR
| Autor: | Xinglong Xiong, Meng Li, Yuzhao Ma, Jie-Sheng Liu, Li-hui Jiang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Quantum optics
Signal processing 010504 meteorology & atmospheric sciences Scattering Noise (signal processing) Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 01 natural sciences Atomic and Molecular Physics and Optics 010309 optics Background noise Lidar Extinction (optical mineralogy) 0103 physical sciences Layer (object-oriented design) Algorithm 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Optical Review. 23:646-656 |
| ISSN: | 1349-9432 1340-6000 |
| DOI: | 10.1007/s10043-016-0223-9 |
| Popis: | Layer boundaries detection with LIDAR is of great significance for the meteorological and environmental research. Apart from the background noise, multiple scattering can also seriously affect the detection results in LIDAR signal processing. To alleviate these issues, a novel approach was proposed based upon morphological filtering and multiple scattering correction with multiple iterations, which essentially acts as a weighted algorithm with multiple scattering factors in different filtering scales, and applies integral extinction coefficients as media to perform correction. Simulations on artificial signals and real LIDAR signals support this approach. |
| Databáze: | OpenAIRE |
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