Method for scheduling of shooting satellite images based on deep learning
AssigneeSI Analytics Co., Ltd.
InventorsTaegyun JEON, Yeji CHOI
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Abstract
Disclosed is a method for scheduling of shooting of a satellite image based on deep learning, which is performed by a computing device. The method may include: generating a prediction image and a cloud amount prediction value up to a future time desired by a user based on a pre-shot satellite image by using a pre-trained neural network model; and determining a shooting schedule of a satellite for at least one region of interest based on the cloud amount prediction value.
Claims13
A method for scheduling of shooting of a satellite image based on deep learning, the method performed by a computing device including at least one processor, the method comprising:
- generating a prediction image and a cloud amount prediction value up to a future time desired by a user based on a cropped image generated by cropping a pre-shot satellite image based on a latitude and longitude of at least one region of interest to include the region of interest by using a pre-trained neural network model;
- and
- determining a shooting schedule of a satellite for at least one region of interest based on the cloud amount prediction value.
A computer program stored in a non-transitory computer-readable storage medium, wherein the computer program executes the following operations for performing shooting scheduling of a satellite image based on deep learning when the computer program is executed by one or more processors, and the operations comprise:
- an operation of generating a prediction image and a cloud amount prediction value up to a future time desired by a user based on a cropped image generated by cropping a pre-shot satellite image based on a latitude and longitude of at least one region of interest to include the region of interest by using a pre-trained neural network model;
- and
- an operation of determining a shooting schedule of a satellite for at least one region of interest based on the cloud amount prediction value.
A computing device performing shooting scheduling of a satellite image based on deep learning, comprising:
- a processor including at least one core;
- a memory including program codes executable in the processor;
- and
- a network unit,
- wherein the processor is configured to:
- generate a prediction image and a cloud amount prediction value up to a future time desired by a user based on a cropped image generated by cropping a pre-shot satellite image based on a latitude and longitude of at least one region of interest to include the region of interest by using a pre-trained neural network model, and
- determine a shooting schedule of a satellite for at least one region of interest based on the cloud amount prediction value.
A user terminal comprising:
- a processor including at least one core;
- a memory;
- a network unit receiving a user interface from a computing device;
- and
- a user interface unit,
- wherein the user interface unit is configured to:
- generate a prediction image and a cloud amount prediction value up to a future time desired by a user based on a cropped image generated by cropping a pre-shot satellite image based on a latitude and longitude of at least one region of interest to include the region of interest by using a pre-trained neural network model, and
- determine a shooting schedule of a satellite for at least one region of interest based on the cloud amount prediction value.
Dependencies are inferred from the claim text.