The combinatorial explosion

defining procedures to reduce data redundancy and to validate the results of processed hyperspectral images

Arianna Traviglia

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

This paper will focus on ways to manage large numbers of remotely sensed data images as results of image processing, a primary problem especially for those dealing with hyperspectral images that pose considerable issues due to the elevated number of channels. While briefly introducing the results of the application of several common image processing techniques in the target area of Aquileia (NE Italy), the current paper will discuss the necessity to define a set of procedures to reduce the number of final images to be used for visual inspection, selecting the ones that do not carry redundant information. Consequently, cross process coverage, detected traces evaluation and process validity tables will be presented and the results of their application discussed in order to provide information about how to reduce the images to a small number and be able to insure the complete coverage as regards to the detectable traces.
Original languageEnglish
Title of host publicationProceedings of the 1st International EARSeL Workshop, CNR, Rome, September 30-October 4, 2008, Advances in Remote Sensing for Archaeology and Cultural Heritage Management
EditorsR. Lasaponara, N. Masini
Place of PublicationRome
PublisherAracne
Pages85-89
Number of pages5
ISBN (Print)9788854820302
Publication statusPublished - 2008
EventInternational EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management' - Rome
Duration: 30 Sep 20084 Oct 2008

Workshop

WorkshopInternational EARSeL Workshop 'Advances in Remote Sensing for Archaeology and Culturale Heritage Management'
CityRome
Period30/09/084/10/08

Keywords

  • MIVIS
  • hyperspectral images
  • image processing
  • image evaluation
  • GIS
  • Aquileia (Italy)

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