Robustified smoothing for enhancement of thermal image sequences affected by clouds

Antonino Maltese, Gemine Vivone, Rita Montone, Maurizio Longo, Rocco Restaino, Paolo Addesso

Risultato della ricerca: Otherpeer review

4 Citazioni (Scopus)

Abstract

Obtaining radiometric surface temperature information with both high acquisition rate and high spatial resolution is still not possible through a single sensor. However, in several earth observation applications, the fusion of data acquired by different sensors is a viable solution for so called image sharpening. A related issue is the presence of clouds, which may impair the performance of the data fusion algorithms. In this paper we propose a robustified setup for the sharpening of thermal images in a non real-time scenario, capable to deal with missing thermal data due to cloudy pixels, and robust with respect to cloud mask misclassifications. The effectiveness of the presented technique is assessed via numerical simulations based on SEVIRI data.
Lingua originaleEnglish
Pagine1076-1079
Numero di pagine4
Stato di pubblicazionePublished - 2015

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • ???subjectarea.asjc.1900.1900???

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