کاهش نویز لکه و بازسازی تصویر رادار روزنه مصنوعی با استفاده از حسگری فشرده

نوع مقاله : مقاله پژوهشی

نویسندگان

دانشگاه صنعتی اصفهان

چکیده

نویز لکه، اعوجاجی دانه‌دانه‌ای در تصاویر همدوس مانند تصاویر رادار روزنه مصنوعی (SAR) است که با یک نویز ضرب‌شونده مدل می‌شود. این نویز، کیفیت تصویر SAR را کاهش می‌دهد و بهره‌برداری از تصویر به کمک شیوه‌های خودکار ارزیابی تصویر را پیچیده می‌کند. تاکنون روش‌های گوناگونی برای کاهش اثر نویز لکه ارائه شده است. بتازگی کاربرد حسگری فشرده (CS) در پردازش سیگنال رادار روزنه مصنوعی مطرح شده است. در این مقاله روشی برای کاهش نویز لکه بر مبنای حسگری فشرده پیشنهاد می‌شود. در این روش، پس‌زمینه تصویر و اهداف نقطه‌ای درخشان نیز، بازسازی می‌شوند. ویژگی مهم روش پیشنهادی، کاهش توأم نویز و تشکیل تصویر SAR است. کارایی روش پیشنهادی در نویززدایی و حفظ جزئیات تصویر نیز به کمک تصاویر شبیه‌سازی شده و تصاویر واقعی SAR بررسی می‌شود.

کلیدواژه‌ها

عنوان مقاله [English]

SAR Speckle Reduction and Image Reconstruction Using Compressed Sensing

نویسندگان [English]

  • Ahmad Shafiei
  • Ehsan Yazdian
  • Mojtaba Beheshti
چکیده [English]

Speckle noise seriously degrades the quality of SAR images and complicates the image
exploitation using automated image analysis techniques. Recently, the application of
compressed sensing (CS) is explored in the SAR signal processing. In this paper, first, a linear
model is derived for speckled SAR data. Then, using this model and the compressed sensing
theory, a speckle reduction method is proposed. In the proposed method, the image backgrounds as well as the bright point targets are also reconstructed together with noise reduction. The important feature of the proposed method is the joint noise reduction simultaneous with the SAR image formation. Moreover, using simulated and real SAR images, the performance of the proposed method in noise reduction and preserving image features is evaluated and compared to the performance of some de-noising approaches.

کلیدواژه‌ها [English]

  • Synthetic Aperture Radar (SAR)
  • Speckle
  • Image reconstruction
  • Compressed sensing (CS

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سابقه مقاله

  • تاریخ دریافت: 20 خرداد 1394
  • تاریخ بازنگری: 11 اردیبهشت 1398
  • تاریخ پذیرش: 28 شهریور 1397
  • تاریخ انتشار: 01 مرداد 1395

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