The invention discloses a building vector extraction model based on
deep learning and an extraction method thereof, and the method comprises the steps: S1, receiving a
remote sensing image, carrying out the
feature extraction of a plurality of stages of the
remote sensing image, and obtaining the extraction features of a plurality of scales; s2, performing feature optimization on the extracted features of each scale to obtain optimized features of a plurality of scales; s3, performing
feature fusion on the optimized features of the multiple scales to obtain fused features; s4, performing feature
recovery and category judgment on the fusion features to obtain a building preliminary extraction result; and S5, post-
processing the preliminary building extraction result to obtain a final building vector result. According to the scheme, the
feature extraction advantages under multiple scales are fused, the
feature extraction capability is effectively improved, the
information extraction capability of the
network on the original image is enhanced, the extraction result is extracted according to the fused features, post-
processing is performed on the extraction result, a relatively regular building vector result can be directly obtained, and subsequent editing and application are greatly facilitated.