公开(公告)号：US12050994B2

公开(公告)日：2024-07-30

申请号：US17526769

申请日：2021-11-15

Applicant: Cape Analytics, Inc.

Inventor： Ingo Kossyk ,  Suat Gedikli

IPC: G06T7/00 ,  G06F18/21 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08 ,  G06T7/73 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17

CPC classification number: G06N3/08 ,  G06F18/217 ,  G06F18/22 ,  G06N3/04 ,  G06T7/74 ,  G06T7/97 ,  G06V10/764 ,  G06V10/82 ,  G06V20/17 ,  G06V20/176 ,  G06V20/188 ,  G06T2207/20084

Abstract: Systems and methods are provided for automatically detecting a change in a feature. For example, a system includes a memory and a processor configured to analyze a change associated with a feature over a period of time using a plurality of remotely sensed time series images. Upon execution, the system would receive a plurality of remotely sensed time series images, extract a feature from the plurality of remotely sensed time series images, generate at least two time series feature vectors based on the feature, where the at least two time series feature vectors correspond to the feature at two different times, create a neural network model configured to predict a change in the feature at a specified time, and determine, using the neural network model, the change in the feature at a specified time based on a change between the at least two time series feature vectors.

公开(公告)号：US20240338565A1

公开(公告)日：2024-10-10

申请号：US18746578

申请日：2024-06-18

Applicant: Cape Analytics, Inc.

Inventor： Ingo Kossyk ,  Suat Gedikli

IPC: G06N3/08 ,  G06F18/21 ,  G06F18/22 ,  G06N3/04 ,  G06T7/00 ,  G06T7/73 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17

CPC classification number: G06N3/08 ,  G06F18/217 ,  G06F18/22 ,  G06N3/04 ,  G06T7/74 ,  G06T7/97 ,  G06V10/764 ,  G06V10/82 ,  G06V20/17 ,  G06V20/176 ,  G06V20/188 ,  G06T2207/20084

Abstract: Systems and methods are provided for automatically detecting a change in a feature. For example, a system includes a memory and a processor configured to analyze a change associated with a feature over a period of time using a plurality of remotely sensed time series images. Upon execution, the system would receive a plurality of remotely sensed time series images, extract a feature from the plurality of remotely sensed time series images, generate at least two time series feature vectors based on the feature, where the at least two time series feature vectors correspond to the feature at two different times, create a neural network model configured to predict a change in the feature at a specified time, and determine, using the neural network model, the change in the feature at a specified time based on a change between the at least two time series feature vectors.

公开(公告)号：US20240273366A1

公开(公告)日：2024-08-15

申请号：US18629676

申请日：2024-04-08

Applicant: Cape Analytics, Inc.

Inventor： Ingo Kossyk ,  Suat Gedikli ,  Matthieu Portail ,  Ryan Hedges ,  Jonathan M. Fisher

IPC: G06N3/08 ,  G06F18/21 ,  G06F18/22 ,  G06N3/04 ,  G06T7/00 ,  G06T7/73 ,  G06V10/764 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17

CPC classification number: G06N3/08 ,  G06F18/217 ,  G06F18/22 ,  G06N3/04 ,  G06T7/74 ,  G06T7/97 ,  G06V10/764 ,  G06V10/82 ,  G06V20/17 ,  G06V20/176 ,  G06V20/188 ,  G06T2207/20084

Abstract: Systems and methods are provided for automatically detecting a change in a feature. For example, a system includes a memory and a processor configured to analyze a change associated with a feature over a period of time using a plurality of remotely sensed time series images. Upon execution, the system would receive a plurality of remotely sensed time series images, extract a feature from the plurality of remotely sensed time series images, generate at least two time series feature vectors based on the feature, where the at least two time series feature vectors correspond to the feature at two different times, create a neural network model configured to predict a change in the feature at a specified time, and determine, using the neural network model, the change in the feature at a specified time based on a change between the at least two time series feature vectors.

公开(公告)号：US11210552B2

公开(公告)日：2021-12-28

申请号：US16682615

申请日：2019-11-13

Applicant: Cape Analytics, Inc.

Inventor： Ingo Kossyk ,  Suat Gedikli

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/73 ,  G06T7/00 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods are provided for automatically detecting a change in a feature. For example, a system includes a memory and a processor configured to analyze a change associated with a feature over a period of time using a plurality of remotely sensed time series images. Upon execution, the system would receive a plurality of remotely sensed time series images, extract a feature from the plurality of remotely sensed time series images, generate at least two time series feature vectors based on the feature, where the at least two time series feature vectors correspond to the feature at two different times, create a neural network model configured to predict a change in the feature at a specified time, and determine, using the neural network model, the change in the feature at a specified time based on a change between the at least two time series feature vectors.