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Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.

, , , , , , , , , , , , and . Remote. Sens., 16 (5): 797 (March 2024)

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Detection of aufeis-related flood areas in a time series of high resolution SAR images using curvelet transform and unsupervised classification., , and . IGARSS, page 177-180. IEEE, (2017)Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons., , , , and . GeoAI@SIGSPATIAL, page 62-65. ACM, (2022)Recursive active contours for hierarchical segmentation of wetlands in high-resolution satellite imagery of Arctic landscapes., , , and . SSIAI, page 137-140. IEEE Computer Society, (2014)Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping., , , , , , , , , and 3 other author(s). Remote. Sens., 16 (5): 797 (March 2024)Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images., , , , , , and . Remote. Sens., 12 (7): 1085 (2020)Hyperparameter Optimization for Large-Scale Remote Sensing Image Analysis Tasks: A Case Study Based on Permafrost Landform Detection Using Deep Learning., , , and . IEEE Access, (2024)Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery., , , and . Remote. Sens., 10 (9): 1487 (2018)