The invention provides an identification method of corns for seed on the basis of high resolution remote sensing data texture analysis. The method comprises the following steps of: obtaining the moderate-resolution remote sensing image of a corn in a whole growth period and the high-resolution remote sensing image of the corn in a tasseling stage in a target detection zone; preprocessing the remote sensing images; according to the enhanced vegetation index of the preprocessed moderate-resolution remote sensing image in the growth period, identifying all corn fields in the target detection region; and extracting the texture information of all corn fields in the preprocessed high-resolution remote sensing image in the tasseling stage, and identifying the corn fields of the corns for seed in all corn fields. The non-artificial distinguishing of the corns for seed and corns which are planted in lands for growing field crops is realized, the identification method has an accurate, quick and reliable identification result, the corn fields of the corns for seed can be effectively monitored so as to effectively forbid illegal seed production behaviors including secret breeding, excessive manufacture and the like which aim at corns, and the order of a corn planting industry is guaranteed.