Analysis and Performance Evaluation of Parameterization Algorithms in Remote Sensing Image Processing

Edmore Chikohora, Bokuhwo M. Esiefarienrhe, Teressa T. Chikohora

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad mewn cynhadleddadolygiad gan gymheiriaid

Crynodeb

The study reviews currently used Feature Extraction Techniques (FET) and analyze their parameterization strategies as discussed by different authors, thereby setting the ground to do a performance evaluation of the GenApp, a novel adaptive algorithm for parameterization of FET that was introduced in our previous publication. We performed efficiency analysis, worst-case analysis and fitness value tests to the feature extraction algorithms to evaluate their strengths in a comparative manner. The results obtained from the experiments reflect a marginally higher complexity value on the execution of the GenApp, a reduced number of generations in finding an optimum parameter value and a relatively constant fitness value which gives us confidence in the algorithm's potential to improve parameterization and output images from FET.

Iaith wreiddiolSaesneg
Teitl2018 Open Innovations Conference, OI 2018
GolygyddionCecil Ouma
CyhoeddwrInstitute of Electrical and Electronics Engineers Inc.
Tudalennau165-169
Nifer y tudalennau5
ISBN (Electronig)9781538653166
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 15 Tach 2018
Cyhoeddwyd yn allanolIe
Digwyddiad2018 Open Innovations Conference, OI 2018 - Johannesburg, De Affrica
Hyd: 3 Hyd 20185 Hyd 2018

Cyfres gyhoeddiadau

Enw2018 Open Innovations Conference, OI 2018

Cynhadledd

Cynhadledd2018 Open Innovations Conference, OI 2018
Gwlad/TiriogaethDe Affrica
DinasJohannesburg
Cyfnod3/10/185/10/18

Dyfynnu hyn