An Automatic Layer Extraction Algorithm for Ice Sounding Radar Data Based on Curvelet Transform (CT) and Minimum Spanning Tree (MST) (opens in new tab)

Accurate and continuous extraction of ice layer structures from airborne ice sounding radar data is critical for analyzing subglacial hydrothermal environments to support key applications such as geothermal heat flux mapping, subglacial hydrology delineation, ice flow dynamics prediction, ice temperature profile reconstruction, and Antarctic expedition efficiency. However, existing algorithms often suffer from missed detections, false positives, and poor layer continuity—particularly in compl...