The invention discloses a remote-sensing image building detection method based on multi-scale and multi-characteristic fusion. The method comprises steps that through high resolution remote-sensing image downsampling, an image pyramid formed by images in different scales is acquired; edge images of the image pyramid are calculated; a characteristic model is established through multi-set characteristic calculation and fusion of the edge images in different scales; according to the characteristic model and neighborhood local non-maximum inhibition, window selection is carried out to acquire a target window; small-scope expansion/contraction calculation of the target window is carried out to acquire a rectangular window; the rectangular window is turned according to a main direction of the target window to acquire an optimal target window, and a building is extracted according to the optimal target window. The method is advantaged in that multi-scale building detection on the Gaussian pyramid image is carried out, universality of detection on buildings different in sizes, shapes and directions is realized, and automatic building detection precision and efficiency are effectively improved.