A modified multiple-component scattering power decomposition for analyzing polarimetric synthetic aperture radar （PolSAR） data is proposed. The modified decomposition involves two distinct steps. Firstly， eigenvectors of the coherency matrix are used to modify the scattering models. Secondly， the entropy and anisotropy of targets are used to improve the volume scattering power. With the guarantee of high double-bounce scattering power in the urban areas， the proposed algorithm effectively improves the volume scattering power of vegetation areas. The efficacy of the modified multiple-component scattering power decomposition is validated using actual AIRSAR PolSAR data. The scattering power obtained through decomposing the original coherency matrix and the coherency matrix after orientation angle compensation is compared with three algorithms. Results from the experiment demonstrate that the proposed decomposition yields more effective scattering power for different PolSAR data sets.