2018/09/18 · Our findings show that the Mask R-CNN is a robust method to automatically identify ice-wedge polygons from fine-resolution optical imagery.

2024/06/13 · The microtopography associated with ice-wedge polygons governs many aspects of Arctic ecosystem, permafrost, and hydrologic dynamics from ...

Manual validations showed that approximately 95% of individual ice-wedge polygons were correctly delineated and classified, with an overall classification ...

Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery. Remote Sens ...

Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery. Remote Sens ...

2022/04/27 · A combination of detailed imagery and advanced processing algorithms will allow pan-Arctic mapping of ice-wedge polygon extent and types (low- ...

This study presents a novel algorithm called IceMaskNet for automatic river ice detection and characterization from aerial imagery.

2018/09/27 · Summary: The manuscript presents a machine learning-based workflow to perform extraction and measurement of ice wedge polygons (IWP) from ...

2020/12/11 · We developed a high-throughput mapping workflow, which centers on deep learning (DL) convolutional neural network (CNN) algorithms on high-performance ...

Deep convolutional neural networks for automated characterization of Arctic ice-wedge polygons in very high spatial resolution aerial imagery.