title: ÐÐ¾Ð²ÑÑÐµÐ½Ð¸Ðµ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð ÐÐ Ð·Ð° ÑÑÑÑ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ð¼ÑÐ»ÑÑÐ¸Ð¿Ð»Ð¸ÐºÐ°ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÑÑÐ¼Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Improving the quality of radar images by using neural networks to filter multiplicative noise
Creators: name: ÐÐ¾ÑÑÐ°Ð³Ð¸Ð½Ð°, ÐÐ»ÑÐ½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÑÐ°Ð´Ð¸Ð¾Ð»Ð¾ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ðµ
ÑÐ°Ð´Ð¸Ð¾Ð»Ð¾ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ðµ ÑÐ¸Ð½ÑÐµÐ½Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð¿ÐµÑÑÑÑÑ
Ð¼ÑÐ»ÑÑÐ¸Ð¿Ð»Ð¸ÐºÐ°ÑÐ¸Ð²Ð½ÑÐ¹ ÑÑÐ¼
ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ñ ÑÐ¿ÐµÐºÐ»-ÑÑÐ¼Ð°
Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÑ ÑÐ¸Ð»ÑÑÑÐ¾Ð²
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¾Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ðµ
radar image
synthetic-aperture radar
multiplicative noise
speckle noise filtering
filter parameters
neural networks
optical images

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description: The subject of the graduate qualification work is âImproving the quality of radar images by using neural networks to filter multiplicative noiseâ. The given work is devoted to the implementation and application of algorithmÂ for filtering of multiplicative speckle noise based on artificial neural networks toÂ improve the quality of radar images obtained using a synthetic aperture radar (SAR).Â A neural network architecture was developed to filter of multiplicative speckle noise,Â which was trained on the developed data set. A search was made for the optimalÂ parameter of the developed filter of multiplicative speckle noise to improve the quality of radar images. We tested and compared the operation of the developedÂ filter with standard speckle noise filters on images with different characteristics. The result of the work is a trained neural network that can more effectivelyÂ remove multiplicative speckle noise on radar images than standard filters. The useÂ of the developed filterÂ will allow the processing (object detection, area segmentation, etc.) of radar images without the influence of speckle noise.