Behshid Khodaei
PhD Student
ارائه یک روش بهبود یافته در آشکار سازی تغییرات با تاکید بر تاثیر نویز لکه ای در تصاویر با روزنه ترکیبی
A Modified Change Detection Method Focusing on De-Speckling of SAR Images
Author
Summary, in English
SAR images are important data for observing the earth in all weather conditions. But the speckle noise contaminated the SAR images, obstructs their application. Speckle noise is primarily due to the phase fluctuations of the electromagnetic return signals. In this paper, we investigate the effect of speckles on the change detection result. Two cost functions are used in our change detection algorithm. One is based on Minimum Mean Squared Errors and the other one is composed of the MMSE and a de-speckled filter. Change detection method is based on the genetic algorithm. The difference image is first computed by the input images and then divided into two separated changed and unchanged regions, according to the change mask realization produced by the Genetic Algorithm. A set of real data acquired from the ASAR sensor of the Envisat satellite is used to evaluate the performance of our method. The results show that the proposed method improves the detection procedure reducing the noise contamination.
Department/s
- MECW: The Middle East in the Contemporary World
- Division of Water Resources Engineering
- Centre for Advanced Middle Eastern Studies (CMES)
Publishing year
2012
Language
Other
Publication/Series
Journal of Geomatics Science and Technology
Volume
2
Issue
2
Links
Document type
Journal article
Topic
- Water Engineering
Keywords
- Change Detection
- Genetic Algorithm
- De
- Speckled Filter
- Synthetic Aperture Radar
Status
Published
ISBN/ISSN/Other
- ISSN: 2322-102X