Comparing Undecimated Wavelet, Nonsubsampled Contourlet and Shearlet for Sar Images Despeckling

Synthetic Aperture Radar (SAR) images suffer of multiplicative speckle noise, which damages the radiometric resolution of SAR images and makes the data interpretation difficult. Bayesian shrinkage in a transformed domain is a well-known method based on finding threshold value to suppress the speckle...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Saeed Jafari, Sedigheh Ghofrani, M. Sheikhan
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	OICC Press 2024-02-01
סדרה:	Majlesi Journal of Electrical Engineering
נושאים:	Nonsubsampled Contourlet transform nonsubsampled shearlet transform SAR images despeckling Undecimated wavelet transform Weighted Bayesian Shrinkage
גישה מקוונת:	https://oiccpress.com/mjee/article/view/5312
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!