Due to the energy distribution difference between targets and nature texture background in wavelet multiscale decomposing, the energy signature of sub-bands coefficients can be chosen as a simple but effective characterization of spatial texture.
Due to the energy distribution difference between targets and nature texture background in wavelet multiscale decomposing, the energy signature of sub-bands coefficients can be chosen as a simple but effective characterization of spatial texture.
在小波变换域，纹理背景和目标区域的多级小波系数具有不同的能量分布，能量特徵可作为简单、有效的空间特徵来检测目标。