公开(公告)号：US20240362898A1

公开(公告)日：2024-10-31

申请号：US18634502

申请日：2024-04-12

Applicant: Impact Observatory, Inc.

Inventor： Steven P. Brumby ,  Amy E. Larson ,  Melanie Corcoran ,  Peter Kerins ,  Mark Mathis

IPC: G06V10/774 ,  G06V10/143 ,  G06V10/62 ,  G06V10/762 ,  G06V10/764 ,  G06V20/13

CPC classification number: G06V10/774 ,  G06V10/143 ,  G06V10/62 ,  G06V10/762 ,  G06V10/764 ,  G06V20/13

Abstract: Systems and methods are described for receiving, by processing circuitry, a plurality of maps of the geographic area, wherein each map of the plurality of maps is generated based on a respective plurality of overhead images captured during a respective portion of a time period, and each overhead image of the respective pluralities of overhead images comprises a respective plurality of pixels, and each pixel is designated as being of a particular mapping category of a plurality of mapping categories. The systems and methods may be configured to train, using the processing circuitry and the plurality of maps, the machine learning model to identify the expected distribution for the mapping categories of the geographic area at the given time.

公开(公告)号：US20220415022A1

公开(公告)日：2022-12-29

申请号：US17847512

申请日：2022-06-23

Applicant: Impact Observatory, Inc.

Inventor： Steven P. Brumby ,  Caitlin Kontgis ,  Krishna Karra

IPC: G06V10/774 ,  G06V10/764 ,  G06V10/22 ,  G06V10/44 ,  G06V20/13 ,  G06V20/10 ,  G06T11/00 ,  G06V10/778

Abstract: Systems and methods are described to systems and methods for training a machine learning model to categorize each pixel of an input overhead image using received overhead images, and using a trained machine learning model to determine, for each pixel of input overhead images, to which land use or land cover mapping category each pixel of each overhead image belongs. The provided systems and methods may generate a map of a geographic area associated with the plurality of overhead images based on the plurality of overhead images and on the determined categories.