Noise Reduction from SAR Images Using a Novel Method
محل انتشار: ششمین کنفرانس بین المللی محاسبات نرم
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 13
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شناسه ملی سند علمی:
CSCG06_032
تاریخ نمایه سازی: 4 مهر 1405
چکیده مقاله:
The objective of this research is to reduce and minimize noise in Synthetic Aperture Radar (SAR) images through wavelet family transforms. Wavelet transforms, as powerful tools in signal and image processing, provide special capabilities for multi-scale and multi-directional analysis of images. In this regard, we utilize advanced statistical models such as the ۲D-GARCH model and its extensions for analyzing and processing transform coefficients. Experimental results demonstrate that the proposed methods exhibit superior performance in preserving image details and reducing noise compared to existing methods.
کلیدواژه ها:
نویسندگان
Jalal Rostami Rad
Electrical and Computer Engineering - Faculty of Engineering - University of Mohaghegh Ardabili - Ardabil - Iran
Mehdi Noshyar
Electrical Faculty of Engineering - University of Mohaghegh Ardabili - Ardabil - Iran
Shahram Jamali
Computer - Faculty of Technology and Engineering - University of Mohaghegh Ardabili - Ardabil - Iran