Open AccessAnalisa filter spekle single dan multitemporal data Sentinel 1-A
Author(s) -
Novie Indriasari,
Rahmat Arief,
Kustiyo,
Marendra Eko Budiono,
Haris Suka Dyatmika,
Mulia Inda Rahayu,
Agnes Sondita Payani,
Qonita Amriya,
Rahmat Maulana,
Shadiq Ali
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/500/1/012021
Subject(s) - speckle pattern , speckle noise , filter (signal processing) , computer science , noise (video) , median filter , artificial intelligence , computer vision , image processing , image (mathematics)
Speckle is noise found in SAR data that will affect the image interpretation process. To reduce the presence of speckle in SAR data, a speckle filtering process is needed. This study will evaluate the multi temporal speckle filtering for Sentinel-1 image, VH polarisation. The data used in this study are 30 SENTINEL-1 images recorded in different seasons in 2018. The methods applied for multi temporal speckle filters are Boxcar, Frost, Lee, Gamma Map and Lee Sigma with window sizes of 5x5 and 7x7. The quality test for speckle filter results will be done qualitatively (by looking at the visual appearance of the filter results) and quantitatively (Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Normalized Mean (NM). The best qualitative and quantitative multitemporal speckle filter results are obtained from the Frost Filter 5x5 with a minimum of 3 scene data.