GREY WOLF OPTIMIZATION WITH WAVELET SCHEME FOR SAR IMAGES DENOISING
نویسندگان
چکیده
منابع مشابه
An Improved Bat Algorithm with Grey Wolf Optimizer for Solving Continuous Optimization Problems
Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...
متن کاملSWT based Denoising Technique for SAR Images
Synthetic Aperture Radar (SAR) is a satellite imaging technology. It produces high resolution images and can be used in varied atmospheric conditions. It can be used under all weather conditions. SAR images are generally affected with granular noise termed as speckle noise. Speckle degrades the spatial resolution, contrast of the image, decreases object detectability and causes inconvenience to...
متن کاملWavelet Based Denoising Techniques for Ultrasound Images
Clinical research has shown a clear correlation between white matter disorders of the neonatal brain and neuro-motoric handicap at a later age. The visual interpretation of ultrasound images is a proven method to detect White Matter Damage at an early stage. A problem, common to all medical ultrasound images, is the presence of speckle noise, which not only complicates the visual interpretation...
متن کاملGrey Wolf Optimization for Multi Input Multi Output System
Grey wolf optimizer (GWO) is a new technique, which can be applied successfully for solving optimized problems. The GWO indeed simulates the leadership hierarchy and hunting mechanism of grey wolves. There are four types of grey wolves which are alpha, beta, delta and omega. Those four types can be used for simulating the leadership hierarchy. In order to complete the process of GWO a three mai...
متن کاملBinary grey wolf optimization approaches for feature selection
In this work, a novel binary version of the grey wolf optimization (GWO) is proposed and used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) is one of the latest bioinspired optimization techniques, which simulate the hunting process of grey wolves in nature. The binary version introduced here is performed using two different approaches. In the first app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
سال: 2019
ISSN: 0973-8975,2454-7190
DOI: 10.26782/jmcms.2019.10.00040