The invention discloses a hyperspectral
remote sensing image vector C-V model segmentation method based on
wave band selection. Firstly, according to a
spectral curve, wave bands high in
contrast ratio between a target and the background are selected, further, according to relevant coefficients of the wave bands, the wave bands high in relevancy are removed so that a new
wave band combination can be formed, and therefore according to the determined
wave band assembly, a hyperspectral
image vector matrix is established; on the basis, a vector C-V segmentation model based on the vector matrix is constructed, the edge guiding function based on gradient is introduced into the model, on the basis that a traditional C-V model is reserved to perform
image segmentation based on area information, the capacity for capturing the target boundary in heterogeneous areas and under complex background conditions is enhanced through edge detail information of images, segmentation precision of the hyperspectral
remote sensing images is improved, segmentation speed of the hyperspectral
remote sensing images is increased.