Nonparametric edge detection in speckled imagery

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nonparametric Edge Detection in Speckled Imagery

This thesis proposes a non-parametri te hnique for boundary dete tion in spe kled imagery. Syntheti Aperture Radar (SAR), sonar, B-ultrasound and laser imagery is orrupted by a signal-dependent non-additive noise alled spe kle. Several statisti al models have been proposed to des ribe su h a noise, thus of spe ialized te hniques for image improvement and analysis. The G distribution is a statis...

متن کامل

Analysis of Speckled Imagery with Parametric and Nonparametric Tests

Synthetic aperture radar (SAR) has a pivotal role as a remote imaging method. Obtained by means of coherent illumination, SAR images are contaminated with speckle noise. The statistical modelling of such contamination is well described according the multiplicative model and its implied G distribution. The understanding of SAR imagery and scene element identification is an important objective in...

متن کامل

Improving Estimation in Speckled Imagery

We propose an analytical bias correction for the maximum likelihood estimators of the G0 I distribution. This distribution is a very powerful tool for speckled imagery analysis, since it is capable of describing a wide range of target roughness. We compare the performance of the corrected estimators with the corresponding original version using Monte Carlo simulation. This second-order bias cor...

متن کامل

Minute Feature Analysis in Speckled Imagery

This paper tackles the problem of estimating the parameters of relevant distributions that describe speckled imagery. Speckle noise appears in data obtained with coherent illumination, as is the case of sonar, laser, ultrasound-B and synthetic aperture radar images. This noise is non-Gaussian and non-additive and, therefore, classical techniques of processing and analysis may fail. A universal ...

متن کامل

Nonparametric Spectral-Spatial Anomaly Detection

Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector (NSSD), is proposed in this work which utilizes the benefits of spatial features and local st...

متن کامل

ذخیره 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: Mathematics and Computers in Simulation

سال: 2012

ISSN: 0378-4754

DOI: 10.1016/j.matcom.2012.04.013