کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6951871 1451707 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-stationary speckle reduction in high resolution SAR images
ترجمه فارسی عنوان
کاهش غلظت نیتروژن در تصاویر با وضوح بالا
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
This paper attempts to address non-stationary speckle reduction in high-resolution synthetic aperture radar (HR-SAR) images, using a novel Bayesian approach. First, non-stationary speckle is defined. Second, an innovative log-normal mixture model (LogNMM) is proposed to model the underlying data; the data priors are represented by using Fields of Experts (FoE); and then the despeckling model is derived based on maximum a posteriori (MAP) method. The experimental results demonstrate that the proposal produces state-of-the-art despeckling performance on synthetic and real HR-SAR data, and prove that the speckle is non-stationary in the HR-SAR data of interest.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Signal Processing - Volume 73, February 2018, Pages 72-82
نویسندگان
, , , , , , ,