The invention discloses an intelligent classification method for a high-spectrum remote sensing image. The intelligent classification method for the high-spectrum remote sensing image comprises the following steps of: carrying out subspace decomposition on the high-spectrum image; then, selecting a proper waveband with a combined method of a simulated annealing algorithm and a genetic algorithm in each subspace; combining all wavebands selected by the subspaces; and finally, carrying out SVM (support vector machine) classification on all pieces of waveband information subjected to comprehensive dimension reduction.