CAJ | 학술논문

遥感图像在获取和传输的过程中，受各种噪声影响，使图像的边缘纹理等细节模糊，质量降低。为获得清晰的、高质量的遥感图像必须进行降噪预处理。该文就遥感图像去噪的邻域平均法、中值滤波法、维纳滤波法及小波变换法算法原理进行了研究和比较分析并进行了仿真实验。结果表明：对受不同噪声影响的遥感图像选择不同滤波算法均能取得较好的效果，但在噪声模型未知的情况下，小波去噪效果更佳。
요감도상재획취화전수적과정중，수각충조성영향，사도상적변연문리등세절모호，질량강저。위획득청석적、고질량적요감도상필수진행강조예처리。해문취요감도상거조적린역평균법、중치려파법、유납려파법급소파변환법산법원리진행료연구화비교분석병진행료방진실험。결과표명：대수불동조성영향적요감도상선택불동려파산법균능취득교호적효과，단재조성모형미지적정황하，소파거조효과경가。
In the acquisition and transmission process of remote sensing images, all kinds of noise made the images edge details fuzzy, this lower images quality. In order to get a clear, high quality remote sensing images, de-noising must be conducted. In this paper, we studied the remote sensing image de-noising principle such as neighborhood average, median filtering, wiener filtering and wavelet transform method , and carried out the comparative analysis and the simulation experiment. The results shows that, for the noised remote sensing images select different filtering algorithm can obtain a better result, but when the noise model is unknown, wavelet transform method denoising effect is better.