CAJ | 학술논문

介绍小波分析的基本理论和利用小波分析对信号进行消除噪声的基本方法，以及InSAR干涉相位图像中噪声的特点，针对目前普遍采用的均值滤波和中值滤波等方法对InSAR干涉相位图像中噪声进行滤波的局限性，提出了基于小波变换的INSAR干涉图方法，通过实验数据验证，并在残差点数目、峰值信噪比、均方差等方面与传统方法进行了对比。研究结果表明小波方法能有效的抑制干涉图的噪声，并且保持图像边缘信息。
개소소파분석적기본이론화이용소파분석대신호진행소제조성적기본방법，이급InSAR간섭상위도상중조성적특점，침대목전보편채용적균치려파화중치려파등방법대InSAR간섭상위도상중조성진행려파적국한성，제출료기우소파변환적INSAR간섭도방법，통과실험수거험증，병재잔차점수목、봉치신조비、균방차등방면여전통방법진행료대비。연구결과표명소파방법능유효적억제간섭도적조성，병차보지도상변연신식。
This paper introduces the basic theory of wavelet analysis and the use of wavelet analysis to the basic method to eliminate noise of signal, and the characteristics of the InSAR interferometric phase noise in the image, in view of the present general y used methods such as average filtering and median filtering for InSAR interferometric phase noise in the image filtering, the limitation of the InSAR interferograms is proposed based on wavelet transform method, through the experiment data validation, and in the number of residual almost, peak signal to noise ratio and mean square deviation compared with the traditional method. The results show that the wavelet method can effectively suppress interference noise, and keep the image edge information.