CMAF - CHRIS morphological adaptive filter

• Autorzy: Kupidura P.
• Języki publikacji: EN

Abstrakty

EN

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).

• Wydawca: -
• Czasopismo: Ecological Questions
• Rocznik: 2013
• Tom: 17
• Opis fizyczny: p.43-55,fig.,ref.

Twórcy

autor

Kupidura P.

• Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland

Bibliografia

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Identyfikatory

DOI

10.2478/ecoq-2013-0015