Building damage assessment of compact polarimetric SAR using statistical model texture parameter

摘要

Accurate building damage assessment is essential to providing decision support for disaster relief and reconstruction. This paper presents a method for building damage assessment using the statistical model texture parameter (SMTP) of compact polarimetric (CP) synthetic aperture radar (SAR). This paper uses the SMTP of CP data to describe the homogeneity of building, and using threshold to extract the collapsed buildings. Then the extent of the damage buildings is evaluated based on the proportion of collapsed buildings in the block. The C band, RADARSAT-2 data is used to present and analyze the performance of the proposed method. Compared with other method, the assessment accuracy is improved. The F1-score (harmonic mean of detection rate and false alarm rate) of serious/moderate/slight damage are 78.37%, 59.30% and 72.48%, respectively, and the overall accuracy is 71.99%.