摘要
图像融合是解决多源遥感图像综合的最有效技术手段,针对不同数据源选择最佳的融合方法是提高图像融合质量的关键。在分析了B ROVEY融合和小波融合的理论、算法和融合过程的基础上,对Q U ICKB IRD的全色波段图像和多光谱波段图像数据进行融合实验,然后从定性和定量两个方面对融合效果进行了分析与评价。定性分析是从色调、纹理和清晰度等方面进行分析,而定量分析是根据熵、平均梯度和光谱真实性等指标进行分析,实验结果表明:在处理Q U ICKB IRD遥感图像时,采用小波融合的图像既保持了较高的空间分辨率,又具有较好的光谱特性;而采用B ROVEY融合的图像虽然图像空间分辨率也较高,但光谱信息丢失较大,因此B ROVEY融合方法并不适用于处理Q U ICKB IRD遥感图像。
Image fusion is the most effective technological means to deal with multi-sources remote sensing images. Choosing the best fusion is a key to improve the picture quality according to different data sources. This paper tests to merge panchromatic wave band images and muhi-spectrum wave band images of QuickBird on the basis of the theory, algorithm and the merging course of Brovey fusion and Wavelet fusion, then analyzes and evaluates the two merging results from quality and quantity respectively. Qualitative analysis includes hue, texture and definition, and quantitative analysis includes entropy, average gradient and spectrum authenticity. The testing result shows： the image adopting Wavelet fusion keeps higher resolution ratio and better .spectrum character; the image adopting Brovey fusion may keeps high resolution ratio, but spectrum information loses relatively heavy, so Brovey fusion is not suitable for dealing with QuickBird remote sensing images.
出处
《遥感技术与应用》
CSCD
2006年第1期67-70,共4页
Remote Sensing Technology and Application
基金
国家自然科学基金资助项目(40271001)
