本文選題：相位導(dǎo)數(shù) + Lee��； 參考：《測繪通報》2016年02期

【摘要】：GBSAR影像由于受到自身和周圍環(huán)境的影響,在影像中易產(chǎn)生噪聲,如不及時濾除噪聲,將對后續(xù)的處理造成很大的影響,以往的濾波算法大部分是基于影像的幅度信息,沒有將相位信息考慮在內(nèi),沒達(dá)到真正濾波的效果。本文提出一種基于相位導(dǎo)數(shù)的算法對GBSAR影像進(jìn)行濾波處理,并將結(jié)果與Lee函數(shù)濾波結(jié)果進(jìn)行對比,結(jié)果表明基于相位導(dǎo)數(shù)的算法在GBSAR影像中具有良好的去噪效果,對GBSAR影像的后續(xù)處理提供了一種新的方法。
[Abstract]:Because GBSAR image is affected by itself and the surrounding environment, it is easy to produce noise in the image. If the noise is not filtered in time, it will have a great impact on the subsequent processing. Most of the previous filtering algorithms are based on the amplitude information of the image. The phase information is not taken into account and the real filtering effect is not achieved. This paper presents an algorithm based on phase derivative to filter GBSAR image, and compares the result with the result of Lee function filtering. The results show that the algorithm based on phase derivative has good denoising effect in GBSAR image. A new method is provided for the follow-up processing of GBSAR images.
【作者單位】： 河海大學(xué)地球科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)基金(41174002) 湖南省重點實驗室開放研究基金(PHLHD201311)
【分類號】：P237

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本文編號：1904585