The invention discloses a multi-spectral
remote sensing image
change detection method based on a spectral
reflectivity neighborhood difference chart and neighborhood probability fusion. The method mainly comprises the steps that 1, a registered two-time-phase multi-
spectral image set at the same area is input and is subjected to Wiener filtering
noise reduction and normalization
processing; 2, the processed image set is converted into a relative ground object spectral
reflectivity image set; 3, the spectral
reflectivity change module value is calculated, and a spectral reflectivity change module value chart is obtained; 4, the spectral reflectivity angle value is calculated, and a spectral reflectivity angle value chart is obtained; 5, a neighborhood difference value of the spectral reflectivity is calculated and the neighborhood difference chart is obtained; 6, clustering is carried out on the spectral reflectivity change module value chart, the spectral reflectivity angle chart and the neighborhood difference chart, and a
binary image is obtained; 7, the obtained
binary image is fused based on the neighborhood probability, and a
change detection result chart is obtained. Manual participation is not needed, the detection precision is high, and the method can be used for the fields such as
urban expansion monitoring, forest and
vegetation change monitoring and the like.