GeoVisual Search works on two different imagery catalogs, showcasing multiple resolutions as well as national- and global-scale search capabilities. Explore these examples below.
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How GeoVisual Search works
Tile source maps
We divide the globe into overlapping grids of tiles—and then use these grids to capture features that would otherwise run across tiles.
For each image tile, we use a deep neural network to extract features such as shapes, colors and texture. These features can include the visible and non-visible spectrum.
Given a query image, we can calculate a “visual distance” between the query features and the features extracted from each image in the comparison set.
We match the tiles with the smallest “visual distance” to the query tile.
Search the globe
Descartes Labs created two base layer map composites for GeoVisual Search utilizing Landsat 8 for global coverage and NAIP for the US.
Aerial Imagery (NAIP)
Resolution: 1 meter per pixel
Coverage: United States
Number of pixels processed: 31.5 trillion
Number of tiles processed: 1.9 billion