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US Patent 9619734 Classification of land based on analysis of remotely-sensed earth images

Patent 9619734 was granted and assigned to DigitalGlobe on April, 2017 by the United States Patent and Trademark Office.

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Patent

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Current Assignee
DigitalGlobe
DigitalGlobe
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9619734
Date of Patent
April 11, 2017
Patent Application Number
14837628
Date Filed
August 27, 2015
Patent Citations Received
‌
US Patent 11853889 Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis
3
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US Patent 11687768 Platform, systems, and methods for identifying characteristics and conditions of property features through imagery analysis
4
Patent Primary Examiner
Sean Conner
Sean Conner
Patent abstract

Land classification based on analysis of image data. Feature extraction techniques may be used to generate a feature stack corresponding to the image data to be classified. A user may identify training data from the image data from which a classification model may be generated using one or more machine learning techniques applied to one or more features of the image. In this regard, the classification module may in turn be used to classify pixels from the image data other than the training data. Additionally, quantifiable metrics regarding the accuracy and/or precision of the models may be provided for model evaluation and/or comparison. Additionally, the generation of models may be performed in a distributed system such that model creation and/or application may be distributed in a multi-user environment for collaborative and/or iterative approaches.

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