Primal sketch of image series with edge preserving filtering application to change detection

Stephane May, Charlotte Pelletier

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

2 Citations (Scopus)

Abstract

This paper proposes an original approach to the problem of change detection into multitemporal image series. A primal sketch of the image is achieved with a modified Perona-Malik filter: relevant edges are extracted. Then, an application to change detection is proposed. The algorithm related to sketch outputs is performed through density of pixels images. It offers significant information about events that occurred between several acquisitions. Potential of the algorithm on high resolution images is shown, and limitations on very high resolution are explained.

Original languageEnglish
Title of host publication2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp)
EditorsGrégoire Mercier
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-4
Number of pages4
ISBN (Print)9781467371193
DOIs
Publication statusPublished - 8 Sept 2015
Externally publishedYes
EventInternational Workshop on the Analysis of Multitemporal Remote Sensing Images 2015 - Annecy, France
Duration: 22 Jul 201524 Jul 2015
Conference number: 8th

Conference

ConferenceInternational Workshop on the Analysis of Multitemporal Remote Sensing Images 2015
Abbreviated titleMulti-Temp 2015
Country/TerritoryFrance
CityAnnecy
Period22/07/1524/07/15

Keywords

  • change detection
  • edge detection
  • Perona-Malik filtering
  • Satellite Image Time Series

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