Performance-oriented analysis and evaluation of modern adaptive speckle reduction techniques in SAR images

Boris Escalante-Ramirez; Jorge Lira-Chavez

doi:10.1117/12.243585

26 June 1996 Performance-oriented analysis and evaluation of modern adaptive speckle reduction techniques in SAR images

Boris Escalante-Ramirez, Jorge Lira-Chavez

Proceedings Volume 2753, Visual Information Processing V; (1996) https://doi.org/10.1117/12.243585
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

We present objective and subjective evaluations of five adaptive speckle reduction techniques: median filter, Lee multiplicative filter, geometrical filter, anisotropic diffusion and polynomial transform-based methods. For the objective evaluations we used several local and global measures of contrast and signal-to-noise ratio. For the subjective evaluation we used numerical scaling experiments assessing basic perceptual attributes. These are used to construct a multidimensional perceptual space subtended by perceptual attributes, namely noisiness, sharpness and contrast. These attributes, together with quality, are represented as vectors in the space. Results of the subjective evaluation show that quality of the processed images is mainly determined by the perception of noise, which in turn influences the perception of sharpness and contrast. The geometrical filter appears as the best filter in terms of objective measures, while the polynomial transform method is the best filter according to the subjective evaluation.

Citation Download Citation

Boris Escalante-Ramirez and Jorge Lira-Chavez "Performance-oriented analysis and evaluation of modern adaptive speckle reduction techniques in SAR images", Proc. SPIE 2753, Visual Information Processing V, (26 June 1996); https://doi.org/10.1117/12.243585

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available