Systems, methods, and computer readable media for predictive analytics and change detection from remotely sensed imagery

US11210552B2 · kind B2 · utility

Assignee

• Cape Analytics, Inc. · US

Inventors

• Ingo Kossyk · Hechendorf, DE
• Suat Gedikli · Planegg, DE

Key dates

• Filing date: Nov 13, 2019
• Grant date: Dec 28, 2021
• Expiry date: Nov 13, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30184
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.