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公开(公告)号:US11625812B2
公开(公告)日:2023-04-11
申请号:US16786257
申请日:2020-02-10
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ranveer Chandra , Peder Andreas Olsen , Mingmin Zhao
Abstract: Examples disclosed herein are related to using a machine learning model to generate image data. One example provides a system, comprising one or more processors, and storage comprising instructions executable by the one or more processors to obtain image data comprising an image with unoccluded features, apply a mask to the unoccluded features in the image to form partial observation training data comprising a masked region that obscures at least a portion of the unoccluded features, and train a machine learning model comprising a generator and a discriminator at least in part by generating image data for the masked region and comparing the image data generated for the masked region to the image with unoccluded features.
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公开(公告)号:US12198347B2
公开(公告)日:2025-01-14
申请号:US17575406
申请日:2022-01-13
Applicant: Microsoft Technology Licensing, LLC
Inventor: Shadi Abdollahian Noghabi , Ranveer Chandra , Krishna Kant Chintalapudi , Peder Andreas Olsen
Abstract: A computing device is provided, including a processor configured to receive imaging relevance data for a geographic area. The processor may be further configured to generate, based at least in part on the imaging relevance data, image mask instructions specifying a region of interest included in the geographic area. The processor may be further configured to transmit the image mask instructions to a satellite. The processor may be further configured to receive, from the satellite, filtered satellite image data of the region of interest. One or more deprioritized regions of the geographic area outside the region of interest may be excluded from the filtered satellite image data.
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