Revision and reconstruction of 3D building data by integrating starimager/tls imagery and complementary data

Masafumi Nakagawa; Ryosuke Shibasaki

Revision and reconstruction of 3D building data by integrating starimager/tls imagery and complementary data

Research output: Contribution to journal › Conference article › peer-review

Abstract

Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shadows and occlusion caused by nearby buildings in urban dense areas. Therefore, we have proposed a method to revise 3D building data by integrating texture change (roofs and walls) and 3D shape change of buildings using STARIMAGER/TLS (Three Line Sensor).

Original language	English
Journal	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume	35
Publication status	Published - 2004 Jan 1
Externally published	Yes
Event	20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey Duration: 2004 Jul 12 → 2004 Jul 23

Keywords

3D Mapping
Change detection
Data revision
Digital photogrammetry
TLS(Three Line Sensor)

ASJC Scopus subject areas

Information Systems
Geography, Planning and Development

Cite this

@article{01a38cd9189a44acb495ab6e15f4fde9,

title = "Revision and reconstruction of 3D building data by integrating starimager/tls imagery and complementary data",

abstract = "Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shadows and occlusion caused by nearby buildings in urban dense areas. Therefore, we have proposed a method to revise 3D building data by integrating texture change (roofs and walls) and 3D shape change of buildings using STARIMAGER/TLS (Three Line Sensor).",

keywords = "3D Mapping, Change detection, Data revision, Digital photogrammetry, TLS(Three Line Sensor)",

author = "Masafumi Nakagawa and Ryosuke Shibasaki",

year = "2004",

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day = "1",

language = "English",

volume = "35",

journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

issn = "1682-1750",

publisher = "International Society for Photogrammetry and Remote Sensing",

note = "20th ISPRS Congress on Technical Commission VII ; Conference date: 12-07-2004 Through 23-07-2004",

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TY - JOUR

T1 - Revision and reconstruction of 3D building data by integrating starimager/tls imagery and complementary data

AU - Nakagawa, Masafumi

AU - Shibasaki, Ryosuke

PY - 2004/1/1

Y1 - 2004/1/1

N2 - Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shadows and occlusion caused by nearby buildings in urban dense areas. Therefore, we have proposed a method to revise 3D building data by integrating texture change (roofs and walls) and 3D shape change of buildings using STARIMAGER/TLS (Three Line Sensor).

AB - Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shadows and occlusion caused by nearby buildings in urban dense areas. Therefore, we have proposed a method to revise 3D building data by integrating texture change (roofs and walls) and 3D shape change of buildings using STARIMAGER/TLS (Three Line Sensor).

KW - 3D Mapping

KW - Change detection

KW - Data revision

KW - Digital photogrammetry

KW - TLS(Three Line Sensor)

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M3 - Conference article

AN - SCOPUS:85044515878

SN - 1682-1750

VL - 35

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

T2 - 20th ISPRS Congress on Technical Commission VII

Y2 - 12 July 2004 through 23 July 2004

ER -

Revision and reconstruction of 3D building data by integrating starimager/tls imagery and complementary data

Abstract

Keywords

ASJC Scopus subject areas

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