Successfully modeling these attributes is crucial in developing advanced image understanding systems for interpreting complex aerial scenes. In this paper we ...
In this paper we explore different ways of modeling the spatial neighborhoods in the high-resolution satellite/aerial imagery. The modeling approach can be ...
In this letter, we are interested in the annotation of large satellite images, using semantic concepts defined by the user. This annotation task combines a ...
Jan 12, 2024 · Fully understanding a complex high-resolution satellite or aerial imagery scene often requires spatial reasoning over a broad relevant context.
Missing: overhead | Show results with:overhead
Research reported in this paper addresses all three of these topics, proposing successful ways to prevent them from hindering a spatial statistical analysis.
Jan 12, 2024 · Fully understanding a complex high-resolution satellite or aerial imagery scene often requires spatial reasoning over a broad relevant context.
Missing: overhead | Show results with:overhead
Modeling Spatial Dependencies in High-Resolution Overhead Imagery. Conference Paper. April, 2011. Using Time Series Segmentation for Deriving Vegetation ...
ABSTRACT. We investigate the problem of estimating the spatial resolution of overhead imagery. More overhead imagery is becoming available.
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Jan 1, 2024 · This paper presents the first high-resolution canopy height map concurrently produced for multiple sub-national jurisdictions.
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Water body extraction from high spatial resolution remote sensing ...
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Jul 12, 2024 · This paper presents a novel network model named EU-Net, specifically designed to extract water bodies from high-resolution remote sensing images.