Derivation of planetary topography using multi-image shape-from-shading

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Volker Lohse
  • Christian Heipke
  • Randolph L. Kirk

Externe Organisationen

  • United States Geological Survey (USGS)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)661-674
Seitenumfang14
FachzeitschriftPlanetary and space science
Jahrgang54
Ausgabenummer7
Frühes Online-Datum13 Juni 2006
PublikationsstatusVeröffentlicht - Juli 2006

Abstract

In many cases, the derivation of high-resolution digital terrain models (DTMs) from planetary surfaces using conventional digital image matching is a problem. The matching methods need at least one stereo pair of images with sufficient texture. However, many space missions provide only a few stereo images and planetary surfaces often possess insufficient texture. This paper describes a method for the generation of high-resolution DTMs from planetary surfaces, which has the potential to overcome the described problem. The suggested method, developed by our group, is based on shape-from-shading using an arbitrary number of digital optical images, and is termed "multi-image shape-from-shading" (MI-SFS). The paper contains an explanation of the theory of MI-SFS, followed by a presentation of current results, which were obtained using images from NASA's lunar mission Clementine, and constitute the first practical application with our method using extraterrestrial imagery. The lunar surface is reconstructed under the assumption of different kinds of reflectance models (e.g. Lommel-Seeliger and Lambert). The represented results show that the derivation of a high-resolution DTM of real digital planetary images by means of MI-SFS is feasible.

ASJC Scopus Sachgebiete

Zitieren

Derivation of planetary topography using multi-image shape-from-shading. / Lohse, Volker; Heipke, Christian; Kirk, Randolph L.
in: Planetary and space science, Jahrgang 54, Nr. 7, 07.2006, S. 661-674.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Lohse V, Heipke C, Kirk RL. Derivation of planetary topography using multi-image shape-from-shading. Planetary and space science. 2006 Jul;54(7):661-674. Epub 2006 Jun 13. doi: 10.1016/j.pss.2006.03.002
Lohse, Volker ; Heipke, Christian ; Kirk, Randolph L. / Derivation of planetary topography using multi-image shape-from-shading. in: Planetary and space science. 2006 ; Jahrgang 54, Nr. 7. S. 661-674.
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@article{abafc967a6e347629314c4770afde6b1,
title = "Derivation of planetary topography using multi-image shape-from-shading",
abstract = "In many cases, the derivation of high-resolution digital terrain models (DTMs) from planetary surfaces using conventional digital image matching is a problem. The matching methods need at least one stereo pair of images with sufficient texture. However, many space missions provide only a few stereo images and planetary surfaces often possess insufficient texture. This paper describes a method for the generation of high-resolution DTMs from planetary surfaces, which has the potential to overcome the described problem. The suggested method, developed by our group, is based on shape-from-shading using an arbitrary number of digital optical images, and is termed {"}multi-image shape-from-shading{"} (MI-SFS). The paper contains an explanation of the theory of MI-SFS, followed by a presentation of current results, which were obtained using images from NASA's lunar mission Clementine, and constitute the first practical application with our method using extraterrestrial imagery. The lunar surface is reconstructed under the assumption of different kinds of reflectance models (e.g. Lommel-Seeliger and Lambert). The represented results show that the derivation of a high-resolution DTM of real digital planetary images by means of MI-SFS is feasible.",
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note = "Funding Information: This work was developed within the priority program “Mars and the terrestrial planets” financed by the German Science Foundation (Deutsche Forschungsgemeinschaft - DFG) under the project number HE 1822/10. The support is gratefully acknowledged. Thanks also go to Prof. Egon Dorrer, University of the Federal Armed Forces, Munich, for many valuable suggestions to improve the method and the manuscript, to the German Aerospace Center (Deutsches Zentrum f{\"u}r Luft- und Raumfahrt—DLR) for providing and helping with the Clementine data, and to the ISIS Support Center at USGS for their assistance in the radiometric calibration of the Clementine images. Finally, we express our thanks to the reviewers for valuable comments, which have considerably improved the paper.",
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AU - Lohse, Volker

AU - Heipke, Christian

AU - Kirk, Randolph L.

N1 - Funding Information: This work was developed within the priority program “Mars and the terrestrial planets” financed by the German Science Foundation (Deutsche Forschungsgemeinschaft - DFG) under the project number HE 1822/10. The support is gratefully acknowledged. Thanks also go to Prof. Egon Dorrer, University of the Federal Armed Forces, Munich, for many valuable suggestions to improve the method and the manuscript, to the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt—DLR) for providing and helping with the Clementine data, and to the ISIS Support Center at USGS for their assistance in the radiometric calibration of the Clementine images. Finally, we express our thanks to the reviewers for valuable comments, which have considerably improved the paper.

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N2 - In many cases, the derivation of high-resolution digital terrain models (DTMs) from planetary surfaces using conventional digital image matching is a problem. The matching methods need at least one stereo pair of images with sufficient texture. However, many space missions provide only a few stereo images and planetary surfaces often possess insufficient texture. This paper describes a method for the generation of high-resolution DTMs from planetary surfaces, which has the potential to overcome the described problem. The suggested method, developed by our group, is based on shape-from-shading using an arbitrary number of digital optical images, and is termed "multi-image shape-from-shading" (MI-SFS). The paper contains an explanation of the theory of MI-SFS, followed by a presentation of current results, which were obtained using images from NASA's lunar mission Clementine, and constitute the first practical application with our method using extraterrestrial imagery. The lunar surface is reconstructed under the assumption of different kinds of reflectance models (e.g. Lommel-Seeliger and Lambert). The represented results show that the derivation of a high-resolution DTM of real digital planetary images by means of MI-SFS is feasible.

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