Classification of land based on analysis of remotely-sensed earth images
US9619734B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2015 |
| Grant date | Apr 11, 2017 |
| Priority date | — |
| Expiry date | Aug 27, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.