公开(公告)号：US11568639B2

公开(公告)日：2023-01-31

申请号：US17475523

申请日：2021-09-15

Applicant: Cape Analytics, Inc.

Inventor： Ryan Kottenstette ,  Peter Lorenzen ,  Suat Gedikli

IPC: G06V20/00 ,  G06V20/10 ,  G06K9/62 ,  G06V10/44 ,  H04N5/33

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.

公开(公告)号：US20230026278A1

公开(公告)日：2023-01-26

申请号：US17870279

申请日：2022-07-21

Applicant: Cape Analytics, Inc.

Inventor： Giacomo Vianello ,  Peter Lorenzen

IPC: G06V10/26 ,  G06T7/60 ,  G06T7/11 ,  G06Q30/02

Abstract: In variants, the method for occlusion correction can include: determining a measurement depicting an occluded object of interest (OOI), optionally infilling the occluded portion of the object of interest within the measurement, and determining an attribute of the object of interest based on the infilled measurement.

公开(公告)号：US11151378B2

公开(公告)日：2021-10-19

申请号：US16833313

申请日：2020-03-27

Applicant: Cape Analytics, Inc.

Inventor： Ryan Kottenstette ,  Peter Lorenzen ,  Suat Gedikli

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  H04N5/33

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.

公开(公告)号：US20200226373A1

公开(公告)日：2020-07-16

申请号：US16833313

申请日：2020-03-27

Applicant: Cape Analytics, Inc.

Inventor： Ryan Kottenstette ,  Peter Lorenzen ,  Suat Gedikli

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.