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US 11,900,670 B2Granted
Construction stage detection using satellite or aerial imagery
AssigneeMetrostudy Inc.
InventorsCorentin Guillo, Sivakumaran Somasundaram
Life of this patent
Estimating the term…
Abstract
Methods, non-transitory computer-readable storage media, and computer or computer systems directed to detecting, analyzing, and tracking stages of housing construction using satellite or aerial imagery in combination with a machine learned model are described.
Claims15
A method comprising:
- receiving a satellite or aerial image, or portion thereof, of a geographic area comprising one or more houses under construction as input into a machine learned model trained with a set of satellite or aerial images having houses representing a plurality of different stages of construction and corresponding labels representing such stages;
- predicting which houses in the satellite or aerial image or portion thereof have completed which stages of construction by way of the machine learned model;
- and
- sending an output from the machine learned model comprising the predictions, wherein the output comprises text comprising:
- a feature name;
- a label for the feature representing a prediction chosen from slab, foundation, under construction, and completed;
- a decimal probability that the label for the feature is correct;
- and
- a centroid and polygonal boundary of the feature, both expressed as geographical coordinates;
- wherein the text is formatted and standardized for input into a Geographic Information System application;
- wherein the different stages of construction are slab, foundation, under construction, and completed.
8 more elements
One or more non-transitory, computer-readable storage media having instructions for execution by the one or more processors, the instructions programmed to cause the one or more processors to:
- receive a satellite or aerial image, or portion thereof, of a geographic area comprising one or more houses under construction as input into a machine learned model trained with a set of satellite or aerial images having houses representing a plurality of different stages of construction and corresponding labels representing such stages;
- predict which houses in the satellite or aerial image or portion thereof have completed which stages of construction by way of the machine learned model;
- and
- send an output from the machine learned model comprising the predictions, wherein the output comprises text comprising:
- a feature name;
- a label for the feature representing a prediction chosen from slab, foundation, under construction, and completed;
- a decimal probability that the label for the feature is correct;
- and
- a centroid and polygonal boundary of the feature, both expressed as geographical coordinates;
- wherein the text is formatted and standardized for input into a Geographic Information System application;
- wherein the different stages of construction are slab, foundation, under construction, and completed.
8 more elements
A computer or computer system, comprising:
- one or more processors designed to execute instructions;
- one or more non-transitory, computer-readable memories storing program instructions for execution by the one or more processors, the instructions programmed to cause the one or more processors to:
- receive a satellite or aerial image, or portion thereof, of a geographic area comprising one or more houses under construction as input into a machine learned model trained with a set of satellite or aerial images having houses representing a plurality of different stages of construction and corresponding labels representing such stages;
- predict which houses in the satellite or aerial image or portion thereof have completed which stages of construction by way of the machine learned model;
- and
- send an output from the machine learned model comprising the predictions,
- wherein the output comprises text comprising:
- a feature name;
- a label for the feature representing a prediction chosen from slab, foundation, under construction, and completed;
- a decimal probability that the label for the feature is correct and
- a centroid and polygonal boundary of the feature, both expressed as geographical coordinates;
- wherein the text is formatted and standardized for input into a Geographic Information System application;
- wherein the different stages of construction are slab, foundation, under construction, and completed.
10 more elements
Dependencies are inferred from the claim text.