论文信息 - Uncertainty Quantification in Synthetic Aperture Radar Remote Sensing Data Processing

Uncertainty Quantification in Synthetic Aperture Radar Remote Sensing Data Processing

A new methodology, based on the International Organization for Standardization (ISO) Guide to the expression of Uncertainty in Measurement (GUM), for the analysis of uncertainties in Synthetic Aperture Radar (SAR) remote sensing data is presented. The principal idea is to assess the sources of uncertainty, developing computational approaches to propagate uncertainties through the whole SAR signal processing chain. The final goal is to construct uncertainties budgets to quantify the total uncertainty of SAR products, permitting their ‘trace-ability’ to international reference standards.

Raffaella Guida | Salvatore Savastano

[1] Nigel P. Fox,et al. Radiometric uncertainty per pixel for the Sentinel-2 L1C products , 2015, SPIE Remote Sensing.

[2] I. Hajnsek,et al. A tutorial on synthetic aperture radar , 2013, IEEE Geoscience and Remote Sensing Magazine.

[3] Giorgio Franceschetti,et al. Efficient Simulation of hybrid stripmap/spotlight SAR raw signals from extended scenes , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[4] S. Standard. GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT , 2006 .

[5] Ian G. Cumming,et al. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation , 2005 .

[6] Changyong Cao,et al. Translating Radiometric Requirements for Satellite Sensors to Match International Standards , 2014, Journal of research of the National Institute of Standards and Technology.