CMAF - CHRIS Morphological Adaptive Filter
AbstractThe 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).
|Journal series||Ecological Questions, ISSN 1644-7298|
|Publication size in sheets||0.6|
|Keywords in English||CHRIS/PROBA, image filtration, mathematical morphology|
|ASJC Classification||; ; ;|
|Score|| = 6.0, 31-01-2020, ArticleFromJournal|
= 13.0, 31-01-2020, ArticleFromJournal
|Publication indicators||= 0; : 2013 = 0.052|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.