Quantifying the Influence of Intensity Channels from Polsar Images for Edge Detection on Information Fusion

A prompt and effective response to natural disasters is essential. Polarimetric Synthetic Aperture Radar (PolSAR) images playa crucial role in helping decisions in these scenarios, especially in adverse weather or the absence of sunlight. In this context, PolSAR images still provide information. In these situations, the process of finding precise boundaries to determine the extent of the disaster is an essential issue as PolSAR image resolutions are usually high (of the order of 10 m). The fusion of information from the intensity channels of PolSAR images for edge detection enhances the precision of edges presented in these images. In this work, we propose three metrics: the accuracy (Mac), the $\mathrm{F}_{1}$ -score (Mfe), and the Matthews correlation coefficient normalized (nMcc). These metrics quantify the influence of the information from the intensity channels of PolSAR images on the information fusion process for edge detection.