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

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

15 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトル2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
ページ3927-3930
ページ数4
DOI
出版ステータス出版済み - 2011
イベント2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, カナダ
継続期間: 2011/07/242011/07/29

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)

学会

学会2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
国/地域カナダ
CityVancouver, BC
Period2011/07/242011/07/29

ASJC Scopus 主題領域

  • コンピュータ サイエンスの応用
  • 地球惑星科学一般

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