IHS小波包活性测度融合SAR与TM图像

Image Fusion Between SAR Image and TM Image Using IHS and Activity-level Measured Wavelet-packet Transform

提出了一种基于光谱特征保持的IHS小波包活性测度融合算法。该算法首先对TM图像做IHS变换提取出I分量,然后对I分量和SAR图像做基于小波包活性测度的融合得到新的I分量,再将新的I分量与原始TM图像的H、S分量一起做IHS逆变换得到融合后的图像。该方法可以最大限度地保留待融合图像的光谱信息,同时提高了待融合图像的清晰度和空间分辨率,防止图像纹理信息的丢失。

Image fusion is a hot area of research in remote sensing. Based on the IHS transform and wavelet packet transform, a scheme of remote sensing image fusion aiming at protecting image's spectral characteristics is made in the paper. In the new algorithm, the TM multi-spectral image is first transformed from RGB system into the IHS system. Then the I component of the TM image is fused with the SAR image using activity-level measured wavelet packet algorithm to get a new fused I component. The fusion image can be obtained through the inverse IHS transform using the new I component, original H and S component. The new scheme makes best use of the spectral information in remote-sensing images to be fused, improves the definition as well as spatial resolution, and prevents the loss of the image's textural features.