CMAF - CHRIS Morphological Adaptive Filter

Przemysław Kupidura

Abstract

The paper presents a new method of CHRIS images filtering. The presented algorithm is based on mathematical morphology operations and allows to correct the main CHRIS images noise types, like missing pixels and vertical stripes caused by a malfunctioning of the device. the algorithm is preceded by the brief discussion on the nature of the noise and the basis of mathematical morphology. The resulting images are compared to the results of application of other types of CHRIS-dedicated algorithms (Settle methods).
Author Przemysław Kupidura (FGC / DPTSIS)
Przemysław Kupidura,,
- Department of Photogrammetry, Teledetection and Spatial Information Systems
Journal seriesEcological Questions, ISSN 1644-7298
Issue year2013
No17
Pages43-55
Publication size in sheets0.6
Keywords in EnglishCHRIS/PROBA, image filtration, mathematical morphology
ASJC Classification2302 Ecological Modelling; 2303 Ecology; 3305 Geography, Planning and Development; 1105 Ecology, Evolution, Behavior and Systematics
DOIDOI:10.2478/ecoq-2013-0015
Internal identifier6/2013/statutowe
Languageen angielski
File
2013_Kupidura_article_ecological_questions.pdf 10.55 MB
Score (nominal)13
Score sourcejournalList
ScoreMinisterial score = 6.0, 31-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 13.0, 31-01-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.052
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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