Adaptive image acquisition and processing with image analysis feedback
First Claim
1. A computer-implemented method for selecting and processing imagery for use in analysis tasks, comprising:
- receiving, by one or more computing devices, a search location;
automatically determining, by the one or more computing devices, one or more derived coordinates based on the received search location;
automatically receiving, by the one or more computing devices, instructions that determine one or more polygons of interest based on the derived coordinates;
automatically obtaining, by the one or more computing devices, imagery of the one or more polygons of interest;
automatically processing, by the one or more computing devices, the obtained imagery based on one or more image processing instructions, wherein the image processing instructions process the obtained imagery to help discriminate objects of interest from background within the obtained imagery;
automatically receiving, by the one or more computing devices, instructions that select multiple objects of interest within the obtained imagery from background of the imagery;
automatically overlaying, by the one or more computing devices, multiple visual marks on respective areas of the obtained imagery, each visual mark overlayed on one of the selected multiple objects of interest andautomatically determining, by the one or more computing devices, a correlation between a count of the selected multiple objects of interest represented by the overlayed multiple visual marks and economic data, wherein the correlation is based at least in part on previously collected correlations between image analysis data and economic data.
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Abstract
Described are systems, methods, computer programs, and user interfaces for image location, acquisition, analysis, and data correlation that uses human-in-the-loop processing, Human Intelligence Tasks (HIT), and/or or automated image processing. Results obtained using image analysis are correlated to non-spatial information useful for commerce and trade. For example, images of regions of interest of the earth are used to count items (e.g., cars in a store parking lot to predict store revenues), detect events (e.g., unloading of a container ship, or evaluating the completion of a construction project), or quantify items (e.g., the water level in a reservoir, the area of a farming plot).
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Citations
28 Claims
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1. A computer-implemented method for selecting and processing imagery for use in analysis tasks, comprising:
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receiving, by one or more computing devices, a search location; automatically determining, by the one or more computing devices, one or more derived coordinates based on the received search location; automatically receiving, by the one or more computing devices, instructions that determine one or more polygons of interest based on the derived coordinates; automatically obtaining, by the one or more computing devices, imagery of the one or more polygons of interest; automatically processing, by the one or more computing devices, the obtained imagery based on one or more image processing instructions, wherein the image processing instructions process the obtained imagery to help discriminate objects of interest from background within the obtained imagery; automatically receiving, by the one or more computing devices, instructions that select multiple objects of interest within the obtained imagery from background of the imagery; automatically overlaying, by the one or more computing devices, multiple visual marks on respective areas of the obtained imagery, each visual mark overlayed on one of the selected multiple objects of interest and automatically determining, by the one or more computing devices, a correlation between a count of the selected multiple objects of interest represented by the overlayed multiple visual marks and economic data, wherein the correlation is based at least in part on previously collected correlations between image analysis data and economic data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28)
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Specification