A nationwide automatic satellite image registration system

Mikael Holm; Eija Parmes; Kaj Andersson; Arto Vuorela

doi:10.1117/12.213116

A nationwide automatic satellite image registration system

Mikael Holm, Eija Parmes, Kaj Andersson, Arto Vuorela

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

5 Citations (Scopus)

Abstract

A system for automatic ground control point measurement and rectification of satellite images to a nationwide reference database has been developed. As reference for the rectification a database consisting of more than three hundred thousand features covering the whole Finland has been created. These features are islands and lakes extracted from the nationwide Land Cover Classification, produced from Landsat Thematic Mapper (TM) images. Also the use of digital maps and image mosaics has been tested. Lakes and islands are extracted from the satellite image to be rectified. Their attributes are compared to those in the reference database. Using feature based matching and robust estimation a few hundred ground control points of subpixel accuracy are selected to the rectification. Images of different resolution can be measured automatically using this system. It has been tested using SPOT, Landsat TM and NOAA AVHRR imagery. The search for ground control points takes only a few minutes per satellite image. The accuracy of the result has proved to be at least as good as when measuring the control points manually. The method is tested by computing the parallaxes between the reference features and the rectified images.

Original language	English
Title of host publication	Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II
Editors	David M. McKeown Jr., Ian J. Dowman
Place of Publication	Bellingham
Publisher	International Society for Optics and Photonics SPIE
Pages	156-167
ISBN (Print)	0-8194-1839-0
DOIs	https://doi.org/10.1117/12.213116
Publication status	Published - 1995
MoE publication type	A4 Article in a conference publication
Event	SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics - Orlando, United States Duration: 17 Apr 1995 → 21 Apr 1995

Publication series

Series	Proceedings of SPIE
Volume	2486
ISSN	0277-786X

Conference

Conference	SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics
Country	United States
City	Orlando
Period	17/04/95 → 21/04/95

Access to Document

10.1117/12.213116

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Holm, M., Parmes, E., Andersson, K., & Vuorela, A. (1995). A nationwide automatic satellite image registration system. In D. M. McKeown Jr., & I. J. Dowman (Eds.), Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II (pp. 156-167). International Society for Optics and Photonics SPIE. Proceedings of SPIE, Vol.. 2486 https://doi.org/10.1117/12.213116

Holm, Mikael ; Parmes, Eija ; Andersson, Kaj ; Vuorela, Arto. / A nationwide automatic satellite image registration system. Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II. editor / David M. McKeown Jr. ; Ian J. Dowman. Bellingham : International Society for Optics and Photonics SPIE, 1995. pp. 156-167 (Proceedings of SPIE, Vol. 2486).

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title = "A nationwide automatic satellite image registration system",

abstract = "A system for automatic ground control point measurement and rectification of satellite images to a nationwide reference database has been developed. As reference for the rectification a database consisting of more than three hundred thousand features covering the whole Finland has been created. These features are islands and lakes extracted from the nationwide Land Cover Classification, produced from Landsat Thematic Mapper (TM) images. Also the use of digital maps and image mosaics has been tested. Lakes and islands are extracted from the satellite image to be rectified. Their attributes are compared to those in the reference database. Using feature based matching and robust estimation a few hundred ground control points of subpixel accuracy are selected to the rectification. Images of different resolution can be measured automatically using this system. It has been tested using SPOT, Landsat TM and NOAA AVHRR imagery. The search for ground control points takes only a few minutes per satellite image. The accuracy of the result has proved to be at least as good as when measuring the control points manually. The method is tested by computing the parallaxes between the reference features and the rectified images.",

author = "Mikael Holm and Eija Parmes and Kaj Andersson and Arto Vuorela",

note = "Project code: AUTT931; SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics ; Conference date: 17-04-1995 Through 21-04-1995",

year = "1995",

doi = "10.1117/12.213116",

language = "English",

isbn = "0-8194-1839-0",

series = "Proceedings of SPIE",

publisher = "International Society for Optics and Photonics SPIE",

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booktitle = "Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II",

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Holm, M, Parmes, E, Andersson, K & Vuorela, A 1995, A nationwide automatic satellite image registration system. in DM McKeown Jr. & IJ Dowman (eds), Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II. International Society for Optics and Photonics SPIE, Bellingham, Proceedings of SPIE, vol. 2486, pp. 156-167, SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, Orlando, United States, 17/04/95. https://doi.org/10.1117/12.213116

A nationwide automatic satellite image registration system. / Holm, Mikael; Parmes, Eija; Andersson, Kaj; Vuorela, Arto.

Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II. ed. / David M. McKeown Jr.; Ian J. Dowman. Bellingham : International Society for Optics and Photonics SPIE, 1995. p. 156-167 (Proceedings of SPIE, Vol. 2486).

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

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AU - Parmes, Eija

AU - Andersson, Kaj

AU - Vuorela, Arto

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PY - 1995

Y1 - 1995

N2 - A system for automatic ground control point measurement and rectification of satellite images to a nationwide reference database has been developed. As reference for the rectification a database consisting of more than three hundred thousand features covering the whole Finland has been created. These features are islands and lakes extracted from the nationwide Land Cover Classification, produced from Landsat Thematic Mapper (TM) images. Also the use of digital maps and image mosaics has been tested. Lakes and islands are extracted from the satellite image to be rectified. Their attributes are compared to those in the reference database. Using feature based matching and robust estimation a few hundred ground control points of subpixel accuracy are selected to the rectification. Images of different resolution can be measured automatically using this system. It has been tested using SPOT, Landsat TM and NOAA AVHRR imagery. The search for ground control points takes only a few minutes per satellite image. The accuracy of the result has proved to be at least as good as when measuring the control points manually. The method is tested by computing the parallaxes between the reference features and the rectified images.

AB - A system for automatic ground control point measurement and rectification of satellite images to a nationwide reference database has been developed. As reference for the rectification a database consisting of more than three hundred thousand features covering the whole Finland has been created. These features are islands and lakes extracted from the nationwide Land Cover Classification, produced from Landsat Thematic Mapper (TM) images. Also the use of digital maps and image mosaics has been tested. Lakes and islands are extracted from the satellite image to be rectified. Their attributes are compared to those in the reference database. Using feature based matching and robust estimation a few hundred ground control points of subpixel accuracy are selected to the rectification. Images of different resolution can be measured automatically using this system. It has been tested using SPOT, Landsat TM and NOAA AVHRR imagery. The search for ground control points takes only a few minutes per satellite image. The accuracy of the result has proved to be at least as good as when measuring the control points manually. The method is tested by computing the parallaxes between the reference features and the rectified images.

U2 - 10.1117/12.213116

DO - 10.1117/12.213116

M3 - Conference article in proceedings

SN - 0-8194-1839-0

T3 - Proceedings of SPIE

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BT - Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II

A2 - McKeown Jr., David M.

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PB - International Society for Optics and Photonics SPIE

CY - Bellingham

T2 - SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics

Y2 - 17 April 1995 through 21 April 1995

ER -

Holm M, Parmes E, Andersson K, Vuorela A. A nationwide automatic satellite image registration system. In McKeown Jr. DM, Dowman IJ, editors, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II. Bellingham: International Society for Optics and Photonics SPIE. 1995. p. 156-167. (Proceedings of SPIE, Vol. 2486). https://doi.org/10.1117/12.213116