ارائه یک روش بهبود یافته در آشکار سازی تغییرات با تاکید بر تاثیر نویز لکه ای در تصاویر با روزنه ترکیبی
Khodaei, Behshid LU
; Amini, Jalal
and Momeni, Mahdi
(2012)
In Journal of Geomatics Science and Technology
2(2).
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/045dfa60-5fef-49dc-a759-e83fbd50de98
- author
- Khodaei, Behshid
LU
; Amini, Jalal
and Momeni, Mahdi
- organization
- alternative title
- A Modified Change Detection Method Focusing on De-Speckling of SAR Images
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Change Detection, Genetic Algorithm, De, Speckled Filter, Synthetic Aperture Radar
- in
- Journal of Geomatics Science and Technology
- volume
- 2
- issue
- 2
- ISSN
- 2322-102X
- language
- Persian
- LU publication?
- yes
- id
- 045dfa60-5fef-49dc-a759-e83fbd50de98
- alternative location
- https://www.magiran.com/paper/1116370/a-modified-change-detection-method-focusing-on-de-speckling-of-sar-images?lang=en
- date added to LUP
- 2023-09-18 13:48:51
- date last changed
- 2023-10-04 03:09:58
@article{045dfa60-5fef-49dc-a759-e83fbd50de98,
abstract = {{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.}},
author = {{Khodaei, Behshid and Amini, Jalal and Momeni, Mahdi}},
issn = {{2322-102X}},
keywords = {{Change Detection; Genetic Algorithm; De; Speckled Filter; Synthetic Aperture Radar}},
language = {{per}},
number = {{2}},
series = {{Journal of Geomatics Science and Technology}},
title = {{ارائه یک روش بهبود یافته در آشکار سازی تغییرات با تاکید بر تاثیر نویز لکه ای در تصاویر با روزنه ترکیبی}},
url = {{https://www.magiran.com/paper/1116370/a-modified-change-detection-method-focusing-on-de-speckling-of-sar-images?lang=en}},
volume = {{2}},
year = {{2012}},
}