KR-20260067974-A - METHOD AND SYSTEM FOR PROVIDING SATELLITE IMAGE PURCHASE SERVICE BASED ON LANGUAGE MODEL

KR20260067974AKR 20260067974 AKR20260067974 AKR 20260067974AKR-20260067974-A

Abstract

The present invention relates to a method and system for providing a language model-based satellite imagery purchasing service. The method for providing a language model-based satellite imagery purchasing service according to the present invention may include: receiving a user query related to satellite imagery purchasing through a service page; specifying a query type corresponding to the user query among a plurality of query types classified based on the perspective of satellite imagery purchasing; searching for at least one satellite image associated with the user query using a specific agent corresponding to the query type among a plurality of agents of a large language model; interpreting the searched satellite image through the specific agent to generate an answer to the user query; and providing the searched satellite image and the answer to the service page.

Inventors

조성익
권다롱새

Assignees

조성익
권다롱새

Dates

Publication Date: 20260513
Application Date: 20250826
Priority Date: 20241106

Claims (10)

A step of receiving a user query related to satellite image purchase through a service page; A step of specifying a query type corresponding to the user query among a plurality of query types classified based on the above satellite image purchasing perspective; A step of searching for at least one satellite image associated with the user query using a specific agent corresponding to the query type among a plurality of agents of a large language model; A step of interpreting the satellite image retrieved through the specific agent above to generate an answer to the user query; and A method for providing a language model-based satellite image purchasing service, characterized by including the step of providing the searched satellite image and the answer on the service page.
In paragraph 1, Among the above plurality of query types, the first type of user query corresponds to a question related to a specific satellite platform, and Among the plurality of agents above, the first agent processing the user query of the first type is, A method for providing a language model-based satellite image purchasing service, characterized by searching for at least one satellite image taken by the specific satellite system from a satellite image DB and generating the answer using descriptive information describing the specific satellite platform.
In paragraph 2, Among the above plurality of query types, the user query of the second type is, A method for providing a language model-based satellite image purchasing service, characterized by including at least one search condition information among the satellite image capture area information, the satellite image capture date information, the satellite image cloud ratio information, the satellite image ROi (Region Of Interest) size information, the satellite image resolution information, and the satellite image provider information.
In paragraph 3, Among the plurality of agents above, the second agent processing the second type of user query is, A method for providing a language model-based satellite image purchasing service, characterized by searching for a plurality of satellite images corresponding to the search condition information from the satellite image DB and generating the answer describing a list including the plurality of satellite images.
In paragraph 4, Among the above plurality of query types, the third type of user query is related to a specific event, and Among the plurality of agents above, the third agent processing the user query of the third type is, Search for news articles related to the specific event mentioned above, and A method for providing a language model-based satellite image purchasing service characterized by searching for satellite images of associated locations related to the news article from the above satellite image DB.
In paragraph 5, The above third agent is, A method for providing a language model-based satellite imagery purchasing service characterized by generating the answer related to the specific event using the searched news article.
In paragraph 1, The above service page is, The chat area where the above user query is entered, A search area where search condition information for the above-mentioned satellite image search is entered, and A method for providing a language model-based satellite image purchasing service characterized by including a preview area where the above-mentioned searched satellite image is provided.
In Paragraph 7, The above service page further includes a step of providing additional information regarding the above user query, and In the step of providing the above additional information, A method for providing a language model-based satellite image purchasing service characterized by analyzing the weather conditions of the searched satellite image and generating an additional answer including the weather condition information and providing it to the chat area.
A communication unit that receives a user query related to satellite image purchase through a service page; and Identifying a query type corresponding to the user query among a plurality of query types classified based on the above satellite imagery purchasing perspective, and Using a specific agent corresponding to the query type among multiple agents of a large language model, at least one satellite image associated with the user query is searched, and Interpreting the satellite image retrieved through the specific agent above to generate an answer to the user query, and A method for providing a language model-based satellite image purchasing service, characterized by including a control unit on the above-mentioned service page that provides the above-mentioned searched satellite image and the above-mentioned answer.
A program that is executed by one or more processes in an electronic device and stored on a computer-readable recording medium, The above program is, A step of receiving a user query related to satellite image purchase through a service page; A step of specifying a query type corresponding to the user query among a plurality of query types classified based on the above satellite image purchasing perspective; A step of searching for at least one satellite image associated with the user query using a specific agent corresponding to the query type among a plurality of agents of a large language model; A step of interpreting the satellite image retrieved through the specific agent above to generate an answer to the user query; and A program characterized by including commands on the above service page that perform the step of providing the above-searched satellite image and the above-searched answer.

Description

Method and System for Providing Satellite Image Purchase Service Based on Language Model The present invention relates to a method and system for providing a language model-based satellite imagery purchasing service. Recently, there has been a surge in cases of achieving outstanding results in various fields such as speech recognition, image recognition, natural language processing, and autonomous driving through artificial intelligence, particularly deep learning which extracts data characteristics using deep neural network structures. Along with the advancement of such deep learning technology, Generative AI technology has recently been attracting attention. More specifically, Generative AI models can generate new data in various forms, such as text, images, and voice, from given data, offering a different dimension of application possibilities compared to simply classifying or predicting existing data. In other words, as it has become possible to automatically generate sentences, images, and voices that were previously generated by humans using generative artificial intelligence models, services using generative artificial intelligence (e.g., ChatGPT) have demonstrated the responsiveness and accuracy that differentiate them from existing chatbot services, and are receiving great attention worldwide. Meanwhile, due to advancements in satellite technology, the utilization of satellites is becoming increasingly important in fields such as Earth observation, weather forecasting, and communications. Through sensors and cameras, satellites collect various forms of data, including high-definition images and video, geographical information, and environmental data, and can provide diverse information about the Earth in real time. Along with the advancement of such satellite technology, there has recently been a surge in research and attempts to integrate artificial intelligence technology with satellite data for utilization in various fields. The analysis and processing of large volumes of images, video, and data collected from satellites are critical; in particular, high-resolution satellite imagery is being utilized effectively in diverse areas such as agriculture, disaster management, urban planning, and environmental monitoring. As such, research to integrate artificial intelligence technology is actively underway in the satellite sector. Consequently, there is a need for methods to provide a wider range of satellite-related services by utilizing generative AI models. FIGS. 1, FIGS. 2a, and FIGS. 2b are conceptual diagrams for illustrating a satellite information-based raw material supply chain monitoring system according to the present invention. FIG. 3 is a flowchart illustrating a method for providing a language model-based satellite image purchasing service according to the present invention. FIGS. 4a and FIGS. 4b are conceptual diagrams for explaining service pages provided by a language model-based satellite image purchasing service providing system according to the present invention. FIGS. 5, FIGS. 6, FIGS. 7, FIGS. 8, FIGS. 9a, and FIGS. 9b are conceptual diagrams illustrating a method for providing a satellite image purchasing service according to a user query in the present invention. Hereinafter, embodiments disclosed in this specification will be described in detail with reference to the attached drawings. Identical or similar components are assigned the same reference number regardless of the drawing symbols, and redundant descriptions thereof will be omitted. The suffixes "module" and "part" used for components in the following description are assigned or used interchangeably solely for the ease of drafting the specification and do not have distinct meanings or roles in themselves. Furthermore, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of related prior art could obscure the essence of the embodiments disclosed in this specification, such detailed description will be omitted. Additionally, the attached drawings are intended only to facilitate understanding of the embodiments disclosed in this specification; the technical concept disclosed in this specification is not limited by the attached drawings, and it should be understood that they include all modifications, equivalents, and substitutions that fall within the spirit and technical scope of the present invention. Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but said components are not limited by said terms. These terms are used solely for the purpose of distinguishing one component from another. When it is stated that one component is "connected" or "connected" to another component, it should be understood that while it may be directly connected or connected to that other component, there may also be other components in between. On the other hand, when it is stated that one component is "directly connected" or "dir