Providing constructed buildings information by ASTER satellite DEM images and web contents

Takashi Takagi, Hideyuki Kawashima, Toshiyuki Amagasa, Hiroyuki Kitagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It has become easy to accumulate and to deliver scientific data by the evolution of computer technologies. The GEO Grid project has collected global satellite images from 2000 to present, and the amount of the collection is about 150 TB. It is required to generate new values by integrating satellite images with heterogeneous information such as Web contents or geographical data. Using GEO Grid satellite images, some researches detect feature changes such as earthquakes, fires and newly constructed building. In this paper, detections of feature changes from time series satellite image are referred to as events, and we focus on events about newly constructed buildings. Usually, there are articles about such newly constructed buildings on the Web. For example, a newly started shopping center is usually introduced in a news report, and a newly constructed apartment is often on the lips of neighboring residents. So, we propose an event detection system that extracts candidate events from satellite images, collects information about them from the Web, and integrates them. This system consists of an event detection module and a Web contents collection module. The event detection module detects geographical regions that have differences with elevation values between two satellite images which are temporally different. The expressions of regions are translated from latitudes/longitudes to building names by using an inverse geocoder. Then, the contents collection module collects Web pages by querying names of buildings to a search engine. The collected pages are re-ranked based on temporal information which is close to event occurrence time. We developed a prototype system. The result of evaluation showed that the system detected some information of building construction events with appropriate web contents in Tsukuba, Japan.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops
Subtitle of host publicationGDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Revised Selected Papers
Pages81-92
Number of pages12
DOIs
Publication statusPublished - 2010 Sep 6
Externally publishedYes
Event15th International Conference on Database Systems for Advanced Applications, DASFAA 2010 - Tsukuba, Japan
Duration: 2010 Apr 12010 Apr 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6193 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Database Systems for Advanced Applications, DASFAA 2010
CountryJapan
CityTsukuba
Period10/4/110/4/4

Fingerprint

ASTER
Satellite Images
Satellites
Event Detection
Module
Geographical regions
Grid
Shopping centers
Computer Technology
Accumulate
Search engines
Earthquake
Search Engine
Japan
Buildings
Websites
Time series
Earthquakes
Fires
Integrate

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Takagi, T., Kawashima, H., Amagasa, T., & Kitagawa, H. (2010). Providing constructed buildings information by ASTER satellite DEM images and web contents. In Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Revised Selected Papers (pp. 81-92). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6193 LNCS). https://doi.org/10.1007/978-3-642-14589-6_9

Providing constructed buildings information by ASTER satellite DEM images and web contents. / Takagi, Takashi; Kawashima, Hideyuki; Amagasa, Toshiyuki; Kitagawa, Hiroyuki.

Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Revised Selected Papers. 2010. p. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6193 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Takagi, T, Kawashima, H, Amagasa, T & Kitagawa, H 2010, Providing constructed buildings information by ASTER satellite DEM images and web contents. in Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6193 LNCS, pp. 81-92, 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, Tsukuba, Japan, 10/4/1. https://doi.org/10.1007/978-3-642-14589-6_9
Takagi T, Kawashima H, Amagasa T, Kitagawa H. Providing constructed buildings information by ASTER satellite DEM images and web contents. In Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Revised Selected Papers. 2010. p. 81-92. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-14589-6_9
Takagi, Takashi ; Kawashima, Hideyuki ; Amagasa, Toshiyuki ; Kitagawa, Hiroyuki. / Providing constructed buildings information by ASTER satellite DEM images and web contents. Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Revised Selected Papers. 2010. pp. 81-92 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{7dfbb10bc939444498c4e4a8bf533ad8,
title = "Providing constructed buildings information by ASTER satellite DEM images and web contents",
abstract = "It has become easy to accumulate and to deliver scientific data by the evolution of computer technologies. The GEO Grid project has collected global satellite images from 2000 to present, and the amount of the collection is about 150 TB. It is required to generate new values by integrating satellite images with heterogeneous information such as Web contents or geographical data. Using GEO Grid satellite images, some researches detect feature changes such as earthquakes, fires and newly constructed building. In this paper, detections of feature changes from time series satellite image are referred to as events, and we focus on events about newly constructed buildings. Usually, there are articles about such newly constructed buildings on the Web. For example, a newly started shopping center is usually introduced in a news report, and a newly constructed apartment is often on the lips of neighboring residents. So, we propose an event detection system that extracts candidate events from satellite images, collects information about them from the Web, and integrates them. This system consists of an event detection module and a Web contents collection module. The event detection module detects geographical regions that have differences with elevation values between two satellite images which are temporally different. The expressions of regions are translated from latitudes/longitudes to building names by using an inverse geocoder. Then, the contents collection module collects Web pages by querying names of buildings to a search engine. The collected pages are re-ranked based on temporal information which is close to event occurrence time. We developed a prototype system. The result of evaluation showed that the system detected some information of building construction events with appropriate web contents in Tsukuba, Japan.",
author = "Takashi Takagi and Hideyuki Kawashima and Toshiyuki Amagasa and Hiroyuki Kitagawa",
year = "2010",
month = "9",
day = "6",
doi = "10.1007/978-3-642-14589-6_9",
language = "English",
isbn = "3642145884",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "81--92",
booktitle = "Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops",

}

TY - GEN

T1 - Providing constructed buildings information by ASTER satellite DEM images and web contents

AU - Takagi, Takashi

AU - Kawashima, Hideyuki

AU - Amagasa, Toshiyuki

AU - Kitagawa, Hiroyuki

PY - 2010/9/6

Y1 - 2010/9/6

N2 - It has become easy to accumulate and to deliver scientific data by the evolution of computer technologies. The GEO Grid project has collected global satellite images from 2000 to present, and the amount of the collection is about 150 TB. It is required to generate new values by integrating satellite images with heterogeneous information such as Web contents or geographical data. Using GEO Grid satellite images, some researches detect feature changes such as earthquakes, fires and newly constructed building. In this paper, detections of feature changes from time series satellite image are referred to as events, and we focus on events about newly constructed buildings. Usually, there are articles about such newly constructed buildings on the Web. For example, a newly started shopping center is usually introduced in a news report, and a newly constructed apartment is often on the lips of neighboring residents. So, we propose an event detection system that extracts candidate events from satellite images, collects information about them from the Web, and integrates them. This system consists of an event detection module and a Web contents collection module. The event detection module detects geographical regions that have differences with elevation values between two satellite images which are temporally different. The expressions of regions are translated from latitudes/longitudes to building names by using an inverse geocoder. Then, the contents collection module collects Web pages by querying names of buildings to a search engine. The collected pages are re-ranked based on temporal information which is close to event occurrence time. We developed a prototype system. The result of evaluation showed that the system detected some information of building construction events with appropriate web contents in Tsukuba, Japan.

AB - It has become easy to accumulate and to deliver scientific data by the evolution of computer technologies. The GEO Grid project has collected global satellite images from 2000 to present, and the amount of the collection is about 150 TB. It is required to generate new values by integrating satellite images with heterogeneous information such as Web contents or geographical data. Using GEO Grid satellite images, some researches detect feature changes such as earthquakes, fires and newly constructed building. In this paper, detections of feature changes from time series satellite image are referred to as events, and we focus on events about newly constructed buildings. Usually, there are articles about such newly constructed buildings on the Web. For example, a newly started shopping center is usually introduced in a news report, and a newly constructed apartment is often on the lips of neighboring residents. So, we propose an event detection system that extracts candidate events from satellite images, collects information about them from the Web, and integrates them. This system consists of an event detection module and a Web contents collection module. The event detection module detects geographical regions that have differences with elevation values between two satellite images which are temporally different. The expressions of regions are translated from latitudes/longitudes to building names by using an inverse geocoder. Then, the contents collection module collects Web pages by querying names of buildings to a search engine. The collected pages are re-ranked based on temporal information which is close to event occurrence time. We developed a prototype system. The result of evaluation showed that the system detected some information of building construction events with appropriate web contents in Tsukuba, Japan.

UR - http://www.scopus.com/inward/record.url?scp=77956148946&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956148946&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-14589-6_9

DO - 10.1007/978-3-642-14589-6_9

M3 - Conference contribution

AN - SCOPUS:77956148946

SN - 3642145884

SN - 9783642145889

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 92

BT - Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops

ER -