Information Fusion in Remote Sensing (bibtex)
by Renate Bartl
Abstract:
Information fusion deals with the combination of different sources of information at external (world, scene, image) and internal (image description, scene description) levels. Each of these levels has specific properties and requires its own quality measures and fusion techniques. In this remote sensing application fusion is performed at two levels: at the image level classification results obtained by several classification from one image algorithms are improved; at the image description level classifications from different images are fused to get a more comprehensive result which permits to infer relations between the original images. This information extracted by fusion can be used profitably by other image analysis tasks and/or remote sensing tasks.
Reference:
Information Fusion in Remote Sensing (Renate Bartl), Technical report, PRIP, TU Wien, 1992.
Bibtex Entry:
@TechReport{TR006,
  author =	 "Renate Bartl",
  institution =	 "PRIP, TU Wien",
  number =	 "PRIP-TR-006",
  title =	 "Information {F}usion in {R}emote {S}ensing",
  year =	 "1992",
  url =		 "ftp://ftp.prip.tuwien.ac.at/pub/publications/trs/tr6.ps.gz",
  abstract =	 "Information fusion deals with the combination of
                  different sources of information at external (world,
                  scene, image) and internal (image description, scene
                  description) levels. Each of these levels has
                  specific properties and requires its own quality
                  measures and fusion techniques. In this remote
                  sensing application fusion is performed at two
                  levels: at the image level classification results
                  obtained by several classification from one image
                  algorithms are improved; at the image description
                  level classifications from different images are
                  fused to get a more comprehensive result which
                  permits to infer relations between the original
                  images. This information extracted by fusion can be
                  used profitably by other image analysis tasks and/or
                  remote sensing tasks.",
}
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