在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
为了充分利用目标的运动信息，连续多帧图像的融合特征图像进行能量累积，达到进一步提高检测概率，降低虚警率。
In order to sufficiently utilize the motion information, the feature images of multi-frame are cumulated to improve the detection probability and reduce the false alarm rate.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
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