A framework of ontology-based knowledge information processing for change detection in remote sensing data

Shutaro Hashimoto; Takeo Tadono; Masahiko Onosato; Masahiro Hori; Takashi Moriyama

doi:10.1109/IGARSS.2011.6050090

A framework of ontology-based knowledge information processing for change detection in remote sensing data

Shutaro Hashimoto^*, Takeo Tadono, Masahiko Onosato, Masahiro Hori, Takashi Moriyama

^*Corresponding author for this work

Earth System Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

This paper proposes a new framework for automatic interpretation, especially for change interpretation, in order to implement insightful and versatile interpretation like manual interpretation. The framework considers remote sensing data analysis as a knowledge information processing. For handling large amount of knowledge on computers consistently, the framework employs double-layered knowledge structure; ontology and heuristic. The ontology is a conceptual dictionary about remote sensing domain, and heuristic is experimental knowledge containing uncertainty. Additionally, this paper introduces the method for constructing Bayesian network using knowledge, and inferring target objects and changes using it. An experiment of change detection is conducted to demonstrate our framework.

Original language	English
Title of host publication	2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
Pages	3927-3930
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2011.6050090
State	Published - 2011
Event	2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada Duration: 2011/07/24 → 2011/07/29

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Country/Territory	Canada
City	Vancouver, BC
Period	2011/07/24 → 2011/07/29

Keywords

change detection
knowledge information processing
object recognition
ontology
probabilistic inference

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2011.6050090

Cite this

Hashimoto, S., Tadono, T., Onosato, M., Hori, M., & Moriyama, T. (2011). A framework of ontology-based knowledge information processing for change detection in remote sensing data. In 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings (pp. 3927-3930). Article 6050090 (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2011.6050090

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title = "A framework of ontology-based knowledge information processing for change detection in remote sensing data",

abstract = "This paper proposes a new framework for automatic interpretation, especially for change interpretation, in order to implement insightful and versatile interpretation like manual interpretation. The framework considers remote sensing data analysis as a knowledge information processing. For handling large amount of knowledge on computers consistently, the framework employs double-layered knowledge structure; ontology and heuristic. The ontology is a conceptual dictionary about remote sensing domain, and heuristic is experimental knowledge containing uncertainty. Additionally, this paper introduces the method for constructing Bayesian network using knowledge, and inferring target objects and changes using it. An experiment of change detection is conducted to demonstrate our framework.",

keywords = "change detection, knowledge information processing, object recognition, ontology, probabilistic inference",

author = "Shutaro Hashimoto and Takeo Tadono and Masahiko Onosato and Masahiro Hori and Takashi Moriyama",

year = "2011",

doi = "10.1109/IGARSS.2011.6050090",

language = "英語",

isbn = "9781457710056",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "3927--3930",

booktitle = "2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings",

note = "2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 ; Conference date: 24-07-2011 Through 29-07-2011",

}

Hashimoto, S, Tadono, T, Onosato, M, Hori, M & Moriyama, T 2011, A framework of ontology-based knowledge information processing for change detection in remote sensing data. in 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings., 6050090, International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3927-3930, 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, 2011/07/24. https://doi.org/10.1109/IGARSS.2011.6050090

A framework of ontology-based knowledge information processing for change detection in remote sensing data. / Hashimoto, Shutaro; Tadono, Takeo; Onosato, Masahiko et al.
2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings. 2011. p. 3927-3930 6050090 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A framework of ontology-based knowledge information processing for change detection in remote sensing data

AU - Hashimoto, Shutaro

AU - Tadono, Takeo

AU - Onosato, Masahiko

AU - Hori, Masahiro

AU - Moriyama, Takashi

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N2 - This paper proposes a new framework for automatic interpretation, especially for change interpretation, in order to implement insightful and versatile interpretation like manual interpretation. The framework considers remote sensing data analysis as a knowledge information processing. For handling large amount of knowledge on computers consistently, the framework employs double-layered knowledge structure; ontology and heuristic. The ontology is a conceptual dictionary about remote sensing domain, and heuristic is experimental knowledge containing uncertainty. Additionally, this paper introduces the method for constructing Bayesian network using knowledge, and inferring target objects and changes using it. An experiment of change detection is conducted to demonstrate our framework.

AB - This paper proposes a new framework for automatic interpretation, especially for change interpretation, in order to implement insightful and versatile interpretation like manual interpretation. The framework considers remote sensing data analysis as a knowledge information processing. For handling large amount of knowledge on computers consistently, the framework employs double-layered knowledge structure; ontology and heuristic. The ontology is a conceptual dictionary about remote sensing domain, and heuristic is experimental knowledge containing uncertainty. Additionally, this paper introduces the method for constructing Bayesian network using knowledge, and inferring target objects and changes using it. An experiment of change detection is conducted to demonstrate our framework.

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KW - knowledge information processing

KW - object recognition

KW - ontology

KW - probabilistic inference

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DO - 10.1109/IGARSS.2011.6050090

M3 - 会議への寄与

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T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

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BT - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings

T2 - 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011

Y2 - 24 July 2011 through 29 July 2011

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Hashimoto S, Tadono T, Onosato M, Hori M, Moriyama T. A framework of ontology-based knowledge information processing for change detection in remote sensing data. In 2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings. 2011. p. 3927-3930. 6050090. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2011.6050090

A framework of ontology-based knowledge information processing for change detection in remote sensing data

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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