Patch-based reconstruction of high resolution satellite image time series with missing values using spatial, spectral and temporal similarities

S. Valero, C. Pelletier, M. Bertolino

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

4 Citations (Scopus)


The reconstruction of missing data in image time series due to cloud masking, among other reasons, is addressed in this paper. A new patch-based strategy based on the similarities between the spatial, spectral and temporal evolutions of the image pixel values is proposed. Experiments are carried out using Landsat-8 and SPOT-5 image time series. The proposed methodology is compared to classical temporal interpolation approaches.

Original languageEnglish
Title of host publication2016 IEEE International Geoscience & Remote Sensing Symposium - Proceedings
Subtitle of host publicationJuly 10–15, 2016 Beijing, China
EditorsJiancheng Shi, Huadong Guo, Kun-shan Chen
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781509033324
ISBN (Print)9781509033331
Publication statusPublished - 1 Nov 2016
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium 2015 - Fiera Milano Congressi - Milan Convention Center, Milan, Italy
Duration: 26 Jul 201531 Jul 2015 (IEEE Conference Proceedings)


ConferenceIEEE International Geoscience and Remote Sensing Symposium 2015
Abbreviated titleIGARSS 2015
Internet address


  • Cloud removal
  • High resolution
  • image reconstruction
  • Satellite Image Time Series

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