The paper develops a kind of enhanced IHS transform to reduce the lost of color information.
针对传统的IHS变换法光谱信息丢失严重的问题， 提出了一种改进的IHS变换法。
IHS transform belongs to color space transform. Because of agility and practicality, it becomes the standard of image merging.
IHS变换属于色彩空间的变换，由于灵活实用的优点而被广泛使用，成为图像融合技术的一个成熟的方法。
Based on the traditional HPF (high pass filter), a fusion method is proposed using the local statistical characteristics of remote-sensing images and IHS transform.
针对传统的高通滤波方法，提出了利用遥感影像的统计特性和IHS变换进行融合的方法。
Finally, perform inverse IHS transform to the wavelet reconstructed new intensity component and the hue and saturation components from the original MS image to get the fused image.
最后，对小波重构得到的新亮度成分和原始多谱图像的色度和饱和度成分进行IHS反变换，从而得到最终的融合结果图像。
The analysis of the experimental data shows that the improved algorithm is better than the original fusion algorithm based on IHS transform and fusion algorithm based on PCA transform.
通过分析实验数据，验证了改进算法优于原来的基于IHS变换融合算法和基于PCA变换融合算法。
Finally, the fusion image is obtained by taking the inverse IHS transform. The experiments prove the performance of new scheme is better than those of IHS fusion method and typical WT fusion method.
实验结果证明融合算法较IHS变换算法和常用的小波融合算法有更好的融合效果。
Experimental comparisons show that the method proposed is better than traditional IHS and wavelet transform fusion method in preserving spatial resolution and spectral component.
实验结果表明该方法得到的融合图像优于传统的IHS变换法和传统小波变换方法。
In addition, IHS, one of the chromatic space transform method was conducted.
此外，还应用了一种颜色空间变换融合方法——IHS法进行了融合实验。
The combined use of principal component transform and IHS color transform provides a powerful information extraction tool for multispectral data processing.
主成分变换和彩色变换相结合，为多波段数据信息提取提供了一种新的方法。
The combined use of principal component transform and IHS color transform provides a powerful information extraction tool for multispectral data processing.
主成分变换和彩色变换相结合，为多波段数据信息提取提供了一种新的方法。
应用推荐