Self-organizing map application for retrieval of man-made structures in remote sensing data

Matthieu Molinier; Jorma Laaksonen; Jussi Ahola; Tuomas Häme

Self-organizing map application for retrieval of man-made structures in remote sensing data

Matthieu Molinier, Jorma Laaksonen, Jussi Ahola, Tuomas Häme

Helsinki University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Self-Organizing Maps (SOMs) have been successfully applied to content-based image retrieval (CBIR). In this study, we investigate the potential of PicSOM, an image database browsing system, applied to remote sensing images. Databases of small images were artificially created, either from a single satellite image for object detection, or two satellite images when considering change detection. By visually querying those databases, it was possible to detect targets like houses, roads or man-made structures, as well as changes between two QuickBird images. Preliminary results were encouraging, and open a full range of applications, from structure detection to change detection, to be embedded in a same operative system.

Original language	English
Title of host publication	ESA-EUSC 2005: Image Information Mining - Theory and Applicaiton to Earth Observation
Subtitle of host publication	Proceedings of the workshop
Publisher	European Space Agency (ESA)
Number of pages	8
Publication status	Published - 2006
MoE publication type	Not Eligible
Event	ESA-EUSC Workshop on Image Information Mining - Theory and Applications to Earth Observation - Frascati, Italy Duration: 5 Oct 2005 → 7 Oct 2005

Publication series

Series	ESA Conference Proceedings
Number	ESA WPP-257
ISSN	1022-6656

Workshop

Workshop	ESA-EUSC Workshop on Image Information Mining - Theory and Applications to Earth Observation
Country/Territory	Italy
City	Frascati
Period	5/10/05 → 7/10/05

Keywords

content-based information retrieval
self-organizing
maps
high resolution satellite images
man-made structure detection
change detection

Cite this

@inproceedings{7c40e84bac604af0aaaf84153a289f62,

title = "Self-organizing map application for retrieval of man-made structures in remote sensing data",

abstract = "Self-Organizing Maps (SOMs) have been successfully applied to content-based image retrieval (CBIR). In this study, we investigate the potential of PicSOM, an image database browsing system, applied to remote sensing images. Databases of small images were artificially created, either from a single satellite image for object detection, or two satellite images when considering change detection. By visually querying those databases, it was possible to detect targets like houses, roads or man-made structures, as well as changes between two QuickBird images. Preliminary results were encouraging, and open a full range of applications, from structure detection to change detection, to be embedded in a same operative system.",

keywords = "content-based information retrieval, self-organizing, maps, high resolution satellite images, man-made structure detection, change detection",

author = "Matthieu Molinier and Jorma Laaksonen and Jussi Ahola and Tuomas H{\"a}me",

year = "2006",

language = "English",

series = "ESA Conference Proceedings",

publisher = "European Space Agency (ESA)",

number = "ESA WPP-257",

booktitle = "ESA-EUSC 2005: Image Information Mining - Theory and Applicaiton to Earth Observation",

address = "France",

note = "ESA-EUSC Workshop on Image Information Mining - Theory and Applications to Earth Observation ; Conference date: 05-10-2005 Through 07-10-2005",

}

Molinier, M, Laaksonen, J, Ahola, J & Häme, T 2006, Self-organizing map application for retrieval of man-made structures in remote sensing data. in ESA-EUSC 2005: Image Information Mining - Theory and Applicaiton to Earth Observation: Proceedings of the workshop. European Space Agency (ESA), ESA Conference Proceedings, no. ESA WPP-257, ESA-EUSC Workshop on Image Information Mining - Theory and Applications to Earth Observation, Frascati, Italy, 5/10/05.

Self-organizing map application for retrieval of man-made structures in remote sensing data. / Molinier, Matthieu; Laaksonen, Jorma; Ahola, Jussi et al.
ESA-EUSC 2005: Image Information Mining - Theory and Applicaiton to Earth Observation: Proceedings of the workshop. European Space Agency (ESA), 2006. (ESA Conference Proceedings; No. ESA WPP-257).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Self-organizing map application for retrieval of man-made structures in remote sensing data

AU - Molinier, Matthieu

AU - Laaksonen, Jorma

AU - Ahola, Jussi

AU - Häme, Tuomas

PY - 2006

Y1 - 2006

N2 - Self-Organizing Maps (SOMs) have been successfully applied to content-based image retrieval (CBIR). In this study, we investigate the potential of PicSOM, an image database browsing system, applied to remote sensing images. Databases of small images were artificially created, either from a single satellite image for object detection, or two satellite images when considering change detection. By visually querying those databases, it was possible to detect targets like houses, roads or man-made structures, as well as changes between two QuickBird images. Preliminary results were encouraging, and open a full range of applications, from structure detection to change detection, to be embedded in a same operative system.

AB - Self-Organizing Maps (SOMs) have been successfully applied to content-based image retrieval (CBIR). In this study, we investigate the potential of PicSOM, an image database browsing system, applied to remote sensing images. Databases of small images were artificially created, either from a single satellite image for object detection, or two satellite images when considering change detection. By visually querying those databases, it was possible to detect targets like houses, roads or man-made structures, as well as changes between two QuickBird images. Preliminary results were encouraging, and open a full range of applications, from structure detection to change detection, to be embedded in a same operative system.

KW - content-based information retrieval

KW - self-organizing

KW - maps

KW - high resolution satellite images

KW - man-made structure detection

KW - change detection

M3 - Conference article in proceedings

T3 - ESA Conference Proceedings

BT - ESA-EUSC 2005: Image Information Mining - Theory and Applicaiton to Earth Observation

PB - European Space Agency (ESA)

T2 - ESA-EUSC Workshop on Image Information Mining - Theory and Applications to Earth Observation

Y2 - 5 October 2005 through 7 October 2005

ER -

Self-organizing map application for retrieval of man-made structures in remote sensing data

Abstract

Publication series

Workshop

Keywords

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Cite this