dc.contributor.author
McGuire, Patrick Charles
dc.contributor.author
Bonnici, A.
dc.contributor.author
Bruner, K. R.
dc.contributor.author
Gross, Christoph
dc.contributor.author
Ormö, Jens
dc.contributor.author
Smosna, R. A.
dc.contributor.author
Walter, Sebastian
dc.contributor.author
Wendt, Lorenz
dc.date.accessioned
2015-02-19
dc.date.available
2015-02-19T09:48:34.889Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/15128
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-19316
dc.description.abstract
We describe an image-comparison technique of Heidemann and Ritter (2008a, b),
which uses image compression, and is capable of: (i) detecting novel textures
in a series of images, as well as of: (ii) alerting the user to the similarity
of a new image to a previously observed texture. This image-comparison
technique has been implemented and tested using our Astrobiology Phone-cam
system, which employs Bluetooth communication to send images to a local laptop
server in the field for the image-compression analysis. We tested the system
in a field site displaying a heterogeneous suite of sandstones, limestones,
mudstones and coal beds. Some of the rocks are partly covered with lichen. The
image-matching procedure of this system performed very well with data obtained
through our field test, grouping all images of yellow lichens together and
grouping all images of a coal bed together, and giving 91% accuracy for
similarity detection. Such similarity detection could be employed to make maps
of different geological units. The novelty-detection performance of our system
was also rather good (64% accuracy). Such novelty detection may become
valuable in searching for new geological units, which could be of
astrobiological interest. The current system is not directly intended for
mapping and novelty detection of a second field site based on image-
compression analysis of an image database from a first field site, although
our current system could be further developed towards this end. Furthermore,
the image-comparison technique is an unsupervised technique that is not
capable of directly classifying an image as containing a particular geological
feature; labelling of such geological features is done post facto by human
geologists associated with this study, for the purpose of analysing the
system's performance. By providing more advanced capabilities for similarity
detection and novelty detection, this image-compression technique could be
useful in giving more scientific autonomy to robotic planetary rovers, and in
assisting human astronauts in their geological exploration and assessment.
de
dc.rights.uri
http://journals.cambridge.org/action/displaySpecialPage?pageId=4676#
dc.subject
computer vision
dc.subject
novelty detection
dc.subject
similarity matching
dc.subject
image compression
dc.subject.ddc
500 Naturwissenschaften und Mathematik::520 Astronomie::520 Astronomie und zugeordnete Wissenschaften
dc.title
The Cyborg Astrobiologist
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
International Journal of Astrobiology. - 13 (2014), 3, S.191-202
dc.identifier.sepid
35025
dc.title.subtitle
matching of prior textures by image compression for geological mapping and
novelty detection
dcterms.bibliographicCitation.doi
10.1017/S1473550413000372
dcterms.bibliographicCitation.url
http://dx.doi.org/10.1017/S1473550413000372
refubium.affiliation
Geowissenschaften
de
refubium.mycore.fudocsId
FUDOCS_document_000000020769
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000003802
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
1473-5504