Geological mapping on Mars by segmentation of hyperspectral OMEGA data

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

The OMEGA instrument onboard of ESA's Mars Express mission is the first hyperspectral sensor that has collected data from Mars. The OMEGA team has shown that Mars has considerable surface compositional variation. Spectral interpretation and mineral mapping, however, is difficult on a pixel-by-pixel basis due to sensor noise, an atmosphere dominated by carbon dioxide and especially an unknown surface cover. An object-based segmentation approach is for datasets that are acquired in areas from which we do not have a-priori knowledge useful to ignore the scene-wide effects of the unknown atmosphere and to enhance the spectral contrast of the planet's surface, without any human bias. Unlike common segmentation procedures where distances in feature space are used for pixel similarity criteria, the OMEGA data is segmented using similarity criteria based on spectral absorption feature parameters such as position, depth and area. This paper shows the first results of an object-based processing of OMEGA data and discusses possibiliteis of future development.

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
PublisherIEEE
Pages2811-2813
Number of pages3
ISBN (Print)1424412129, 9781424412129
DOIs
Publication statusPublished - 1 Dec 2007
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007: Sensing and Understanding Our Planet - Barcelona, Spain
Duration: 23 Jul 200728 Jul 2007
http://www.grss-ieee.org/event/igarss-2007/

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Abbreviated titleIGARSS
CountrySpain
CityBarcelona
Period23/07/0728/07/07
Internet address

Fingerprint

geological mapping
segmentation
Mars
pixel
Pixels
sensor
atmosphere
Sensors
Planets
Carbon dioxide
Minerals
planet
carbon dioxide
mineral
Processing

Cite this

Van Der Werff, H., Van Ruitenbeek, F. J. A., & Van Der Meer, F. D. (2007). Geological mapping on Mars by segmentation of hyperspectral OMEGA data. In 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (pp. 2811-2813). [4423427] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2007.4423427
Van Der Werff, H. ; Van Ruitenbeek, F.J.A. ; Van Der Meer, F.D. / Geological mapping on Mars by segmentation of hyperspectral OMEGA data. 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007. IEEE, 2007. pp. 2811-2813 (International Geoscience and Remote Sensing Symposium (IGARSS)).
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abstract = "The OMEGA instrument onboard of ESA's Mars Express mission is the first hyperspectral sensor that has collected data from Mars. The OMEGA team has shown that Mars has considerable surface compositional variation. Spectral interpretation and mineral mapping, however, is difficult on a pixel-by-pixel basis due to sensor noise, an atmosphere dominated by carbon dioxide and especially an unknown surface cover. An object-based segmentation approach is for datasets that are acquired in areas from which we do not have a-priori knowledge useful to ignore the scene-wide effects of the unknown atmosphere and to enhance the spectral contrast of the planet's surface, without any human bias. Unlike common segmentation procedures where distances in feature space are used for pixel similarity criteria, the OMEGA data is segmented using similarity criteria based on spectral absorption feature parameters such as position, depth and area. This paper shows the first results of an object-based processing of OMEGA data and discusses possibiliteis of future development.",
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Van Der Werff, H, Van Ruitenbeek, FJA & Van Der Meer, FD 2007, Geological mapping on Mars by segmentation of hyperspectral OMEGA data. in 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007., 4423427, International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, pp. 2811-2813, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007, Barcelona, Spain, 23/07/07. https://doi.org/10.1109/IGARSS.2007.4423427

Geological mapping on Mars by segmentation of hyperspectral OMEGA data. / Van Der Werff, H.; Van Ruitenbeek, F.J.A.; Van Der Meer, F.D.

2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007. IEEE, 2007. p. 2811-2813 4423427 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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N2 - The OMEGA instrument onboard of ESA's Mars Express mission is the first hyperspectral sensor that has collected data from Mars. The OMEGA team has shown that Mars has considerable surface compositional variation. Spectral interpretation and mineral mapping, however, is difficult on a pixel-by-pixel basis due to sensor noise, an atmosphere dominated by carbon dioxide and especially an unknown surface cover. An object-based segmentation approach is for datasets that are acquired in areas from which we do not have a-priori knowledge useful to ignore the scene-wide effects of the unknown atmosphere and to enhance the spectral contrast of the planet's surface, without any human bias. Unlike common segmentation procedures where distances in feature space are used for pixel similarity criteria, the OMEGA data is segmented using similarity criteria based on spectral absorption feature parameters such as position, depth and area. This paper shows the first results of an object-based processing of OMEGA data and discusses possibiliteis of future development.

AB - The OMEGA instrument onboard of ESA's Mars Express mission is the first hyperspectral sensor that has collected data from Mars. The OMEGA team has shown that Mars has considerable surface compositional variation. Spectral interpretation and mineral mapping, however, is difficult on a pixel-by-pixel basis due to sensor noise, an atmosphere dominated by carbon dioxide and especially an unknown surface cover. An object-based segmentation approach is for datasets that are acquired in areas from which we do not have a-priori knowledge useful to ignore the scene-wide effects of the unknown atmosphere and to enhance the spectral contrast of the planet's surface, without any human bias. Unlike common segmentation procedures where distances in feature space are used for pixel similarity criteria, the OMEGA data is segmented using similarity criteria based on spectral absorption feature parameters such as position, depth and area. This paper shows the first results of an object-based processing of OMEGA data and discusses possibiliteis of future development.

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Van Der Werff H, Van Ruitenbeek FJA, Van Der Meer FD. Geological mapping on Mars by segmentation of hyperspectral OMEGA data. In 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007. IEEE. 2007. p. 2811-2813. 4423427. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2007.4423427