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Remote-sensing-image application-case spatiotemporal semantic expression method based on ontology

A remote sensing image, spatiotemporal semantic technology, applied in special data processing applications, instruments, electrical digital data processing, etc. Describe the content of remote sensing image application scenarios and other issues to achieve the effect of improving the application effect and enriching the semantic connotation

Inactive Publication Date: 2017-03-15
NANCHANG UNIV
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AI Technical Summary

Problems solved by technology

However, the traditional case representation method cannot represent its spatio-temporal semantic features, cannot fully describe the content of remote sensing image application scenarios, and has an impact on the retrieval, adjustment, correction, and retention efficiency of subsequent remote sensing image application cases.

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  • Remote-sensing-image application-case spatiotemporal semantic expression method based on ontology
  • Remote-sensing-image application-case spatiotemporal semantic expression method based on ontology
  • Remote-sensing-image application-case spatiotemporal semantic expression method based on ontology

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Embodiment Construction

[0023] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

[0024] First introduce the theoretical basis used in the present invention:

[0025] Case-based reasoning is an important reasoning technique emerging in artificial intelligence. Case-based reasoning originated from cognitive science and is an artificial intelligence and machine learning method developed on the basis of memory models. A case is past problem-solving experience, which can be expressed in different forms, including structured, semi-structured and even natural language. A case library is a collection of a series of cases. CBR uses current new problems and cases in the case library as data sources, and gives solutions to new problems through reasoning. CBR technology is the result of people's continuous research on human cognition, and has achieved in cognitive science and computer scien...

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Abstract

The invention discloses a remote-sensing-image application-case spatiotemporal semantic expression method based on the ontology. The remote-sensing-image application-case spatiotemporal semantic expression method includes the following steps that 1, a remote-sensing-image application-case structural pattern is established, wherein the pattern comprises the five elements of time, space, a remote-sensing-image application task, a remote-sensing-image product and the application effect; 2, a time ontology model is established; 3, a space ontology model is established; 4, a remote-sensing-image application task ontology model is established; 5, a remote-sensing-image product ontology model is established; 6, a remote-sensing-image application-case spatiotemporal semantic representation model based on the ontology is established. According to the remote-sensing-image application-case spatiotemporal semantic expression method, the time ontology, the space ontology, the remote-sensing application task ontology and the remote-sensing-image product ontology are defined to comprehensively describe a remote-sensing-image application case, and the problem that the spatiotemporal and attributive characteristics of the remote-sensing-image application case are incomplete in a traditional attribute-value expression mode can be solved.

Description

technical field [0001] The invention relates to the field of case reasoning and remote sensing technology, in particular to a technical scheme of an ontology-based spatio-temporal semantic expression method for remote sensing image application cases. Background technique [0002] Case-based reasoning (CBR for short) is an important reasoning technology emerging in the field of artificial intelligence in recent years. When people solve problems, they usually recall the experience and processing process of similar problems in the past, and make appropriate modifications to these experiences and processing processes in the environment of new problems, and reuse them to solve new problems. CBR is an artificial intelligence method that simulates this problem-solving method of people. These processes are reflected in CBR as the CBR processing model. The 4R model proposed by Aamodt is the most classic (Aamodt et al., 1994). The core issues include case representation, case similar...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2458G06F16/24564
Inventor 李铭
Owner NANCHANG UNIV
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