Abstract: Processing synthetic aperture radar images for sea ice mapping using deep learning is typically constrained to analyzing neighboring pixels rather than studying visual patterns at a large ...
A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
Abstract: The rapid acquisition of remote sensing information plays a significant role in the development of image semantic segmentation methods for remote sensing image interpretation applications.
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