Scene classification method for remote sensing images

The invention discloses a scene classification method for remote sensing images. The method comprises the following steps: pre-classifying the images according to the distribution situation of local invariant feature points in the images into two classes, namely images with uniform feature point distribution and images with non-uniform feature point distribution; then, training and classifying the images with uniform feature point distribution through overall features combining a color histogram and textural features, and training and classifying the images with non-uniform feature point distribution through local features of ScSPM (Spare Coding Spatial Pyramid Matching). Compared with the prior art, the classification method disclosed by the invention improves classification precision, and the classification method also reduces classification duration.