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Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
land water segmentation remote sensing deep learning sparse labels
2023/12/5
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife...
SAMPLING OF BIDIRECTIONAL REFLECTANCE FROM MULTIANGULAR HIGH RESOLUTION AIRBORNE IMAGERY
Acquisition Sampling DEM/DTM Aerial High resolution Multispectral
2015/5/29
The present investigation describes a method for sampling bidirectional reflectance information from multiangular airborne images.The method uses high resolution surface models in the determination of...
Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high resolution airborne imagery
Ocean color remote sensing of seagrass bathymetry in the Bahamas Banks high resolution airborne imagery
2014/5/19
New coastal ocean remote sensing techniques permit benthic habitats to be explored with higher resolution than ever before. A mechanistic radiative transfer approach is developed that first removes th...