研究目的
To investigate the influence of SAR observing parameters, ocean environment, and noise level on polarimetric SAR parameters for oil spill detection.
研究成果
The conformity coefficient and other polarimetric parameters are influenced by noise levels, with positive values corresponding to signals above noise and negative values to signals below noise. These parameters cannot simply discriminate oil slicks from look-alikes without considering noise. Oil spill detection should account for observing conditions, environmental parameters, and image noises to ensure reliable results.
研究不足
The analysis is based on a limited set of eight Radarsat-2 images. The study provides qualitative rather than quantitative analysis for some aspects, such as the impact of incidence angle and wind speed. More multi-polarization data and detailed quantitative analysis are needed for broader conclusions.
1:Experimental Design and Method Selection:
The study uses Radarsat-2 polarimetric SAR data to analyze parameters such as conformity coefficient, Muller matrix parameters, and eigenvalues of the simplified coherency matrix. The design involves systematic analysis under varying incidences, wind speeds, noise levels, and ocean phenomena (oil slicks and look-alikes).
2:Sample Selection and Data Sources:
Eight Radarsat-2 images from 2008 to 2012 covering China offshore, Gulf of Mexico, and North Sea are used. Samples include oil slicks, low wind areas, and biogenic slicks, with incidences from 29° to 50°, NESZ from -31 to -36 dB, and wind speeds from 1.6 to 9.0 m/s.
3:6 to 0 m/s.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Radarsat-2 SAR data in various modes (e.g., FQ10, FQ15, FQ25, FQ23, FQ31, FQ21) are utilized. No specific laboratory equipment is mentioned; the focus is on data analysis.
4:Experimental Procedures and Operational Workflow:
Data are processed to compute polarimetric parameters. SNR is calculated as σ0 - na, where σ0 is backscattering intensity and na is averaged NESZ. Probability density functions (pdfs) of parameters are plotted and compared for different conditions.
5:Data Analysis Methods:
Statistical analysis of pdfs, comparison of parameter values under different SNR conditions, and qualitative assessment of the impact of incidence angle, wind speed, and noise on parameters.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容