Microsoft Technology Licensing, LLC

Here Global B.v.

Robert Ledner

David J Simons

Ido Omer

Wolfgang Schickler

Leon Rosenshein

Yuxiang Liu

Xiaoying Jin

Holly Russell

Joseph Tankovich

An approach is provided for pole extraction from optical imagery. The approach involves, for instance, processing a plurality of images using a machine learning model to generate a plurality of redundant observations of a pole-like object and/or their semantic keypoints respectively depicted in the plurality of images. The approach also involves performing a photogrammetric triangulation of the plurality of redundant observations to determine three-dimensional coordinate data of the pole-like object and/or their semantic keypoints. The approach further involves providing the three-dimensional coordinate data of the pole-like object as an output.

Method, apparatus, and system for pole extraction from optical imagery

Techniques for atmospheric and solar correction of aerial images are described. An apparatus may comprise an atmospheric and solar component arranged for execution by a logic device and operative to correct solar and atmosphere artifacts from an aerial image. The atmospheric and solar component may comprise an image information component operative to generate an image record for each aerial image of a group of aerial images, the image record comprising statistical information and image context information for each aerial image, a filter generation component operative to generate an atmospheric filter and a solar filter from the statistical information and the image context information stored in the image records, and an image correction component operative to correct atmospheric and solar artifacts from the aerial image using the respective atmospheric filter and solar filter. Other embodiments are described and claimed.

Techniques for atmospheric and solar correction of aerial images

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Boulder, CO, United States of America

Robert Ledner