Segmentation-Based Weighting Strategy for Hyperspectral Anomaly Detection

Background information extraction and modeling have always been the cores of hyperspectral anomaly detection (AD) algorithms. In this letter, a simple and efficient weighting strategy based on image segmentation is proposed. The strategy integrates detection results with spatial information from segmentation, and the background is suppressed in the fusion results. First, an improved graph-based im...