UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation
Remote SensingSurface cracks serve as early warning signals for potential geological hazards, and their precise segmentation is crucial for disaster risk assessment. Due to differences in acquisition conditions and the diversity of crack morphology, scale, and surface
Fei Deng +4 more
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Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images [PDF]
, 2018 Chunfeng Lian +6 more
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A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation [PDF]
, 2014 Jérôme Gilles, K. M. Heal
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LMVMamba: A Hybrid U-Shape Mamba for Remote Sensing Segmentation with Adaptation Fine-Tuning
Remote SensingHigh-precision semantic segmentation of remote sensing imagery is crucial in geospatial analysis. It plays an immeasurable role in fields such as urban governance, environmental monitoring, and natural resource management.
Fan Li +5 more
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Robust brain segmentation using histogram scale-space analysis and mathematical morphology [PDF]
, 1998 Jean‐François Mangin +2 more
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Accommodation, slip inversion, and fault segmentation in a province-scale shear zone from high-resolution, densely spaced wide-aperture seismic profiling, Centennial Valley, MT, USA [PDF]
, 2019 Pier Paolo Bruno +2 more
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A scale space based algorithm for automated segmentation of single shot tagged MRI of shearing deformation [PDF]
, 2012 André Sprengers +5 more
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Large-Scale Spatial–Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation [PDF]
Xinlei Hu, Shuo Zhuang
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