Supervised evolutionary optimization of bayesian

  • No School
  • AA 1
  • 15

This preview shows page 13 - 15 out of 15 pages.

Supervised Evolutionary Optimization of Bayesian Nonlocal Means with Sigma… Results for the real intensity SAR images ( SAR images courtesy of Terra SAR-X, Infoterra GmbH & Infoterra Servicios de Geoinformación S.A .) Noisy image EBN L User 1 User 2 Mea n 82,59 84,9 7 85,13 85,13 Std. 70,12 56,6 8 54,48 51,6 9 CPU --- 5,20 1,20 1 ( a) Original SAR image (b) ENBL filter (c) Optimized EBNL filter, USER 1: [3, 1,81, 0,72, 0,81, 3 x 3, 7 x 7] (d) Optimized EBNL filter, USER 2: [1, 2,30, 0,61, 0,88, 3 x 3, 9 x 9] Better variance reduction and better CPU time
Image of page 13
15 CONCLUSIONS CONCLUSIONS o We proposed an interactive easy-to-use software package based on an evolutionary algorithm to perform Enhanced Bayesian NonLocal Filtering for SAR images. o As a main difference from other methodologies, there is a direct implication of a SAR image processing user which provides: o a subjective evaluation o her/his experience o Results show that the methodology works well ( better variance reduction and faster CPU execution time ) and it is oriented to include either other speckle filters or new statistical models suited to the special characteristics of SAR images. CONTENTS: INTRODUCTI ON THE BAYESIAN NONLOCAL FILTER INTERACTIV E GENETIC ALGORITHM IMPLEMENTA TION ISSUES & RESULTS CONCLUSI ONS Supervised Evolutionary Optimization of Bayesian Nonlocal Means with Sigma…
Image of page 14
Thanks for your attention !! LUIS GÓMEZ, CRISTIAN MUNTEANU LUIS GÓMEZ, CRISTIAN MUNTEANU Electronic Engineering and Automatic Department, Electronic Engineering and Automatic Department, University of Las Palmas de Gran Canaria, Canary Islands, SPAIN University of Las Palmas de Gran Canaria, Canary Islands, SPAIN MARIA BUEMI, MARIA BUEMI, JULIO BERLLES, MARTA MEJAIL JULIO BERLLES, MARTA MEJAIL Computation and Image Processing Group Computation and Image Processing Group University of Buenos Aires, Argentina University of Buenos Aires, Argentina Supervised Evolutionary Optimization of Bayesian Nonlocal Means with Sigma Preselection for Despeckling SAR Images
Image of page 15

You've reached the end of your free preview.

Want to read all 15 pages?

  • Fall '19
  • Supervised Evolutionary Optimization of Bayesian Nonlocal

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern

Stuck? We have tutors online 24/7 who can help you get unstuck.
A+ icon
Ask Expert Tutors You can ask You can ask You can ask (will expire )
Answers in as fast as 15 minutes
A+ icon
Ask Expert Tutors