但是随着研究深入，出现稀疏数据成像问题，无法用传统方法重建清晰图像。
With the in-depth study, however, appearing sparse data imaging, which traditional methods can not used to reconstruct a clear image.
数值试验表明，这种方法抗噪声能力强，分辨率高，很适合于有限观测数据并且含有噪声的数据成像。
Numerical tests show this method is powerful in resistance to noise and is of high resolution, therefor suits to image finite and noisy data.
实际SAR原始数据的压缩结果表明，解压缩数据成像依然清晰，并且能在一定程度上保留图像中的细节信息。
Using this WT algorithm to compress high resolution SAR raw data, under the large compression ratio, the decompressed images can reserve important details on the images resulted from raw data.
应用推荐