Textural method to evaluate speckle noise filters based on AR-2D models using P-band radar data

Author

Sant´Anna, S.J.S. ; Freitas, C.C. ; Fernandes, D. ; Dutra, L.V.

Author_Institution

Instituto Nacional de Pesquisas Espaciais, Sao Jose Dos Campos, Brazil

Volume

3

fYear

2001

fDate

2001

Firstpage

1506

Abstract

The performance evaluation of some speckle reduction filters for synthetic aperture radar images is addressed in this work The criteria used to evaluate the filters performance are based on the improvement of signal to noise ratio and its ability to preserve textural features. The former is achieved through equivalent number of looks (ENL) computation, while the latter is analyzed by Euclidean distance between AR-2D models, which are estimated from several samples of three land cover classes

Keywords

geophysical signal processing; geophysical techniques; image texture; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; terrain mapping; AR-2D model; Euclidean distance; P-band; SAR; UHF; VHF; equivalent number of looks; geophysical measurement technique; image processing; image texture; land cover class; land surface; radar imaging; radar remote sensing; speckle noise filter; synthetic aperture radar; terrain mapping; Degradation; Filtering; Filters; Image generation; Remote sensing; Robustness; Signal to noise ratio; Spatial resolution; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976893

Filename

976893