Abstract: In embodiments of the disclosure, provided is a method for image processing, including: acquiring a first target result from a classification result set, wherein the classification result set is obtained by a first neural network through processing a to-be-processed image, and includes classification results each corresponding to a respective one of a plurality of land cover classes; adjusting the first target result to obtain a second target result; and obtaining an image recognition result according to the second target result and the classification results in the classification result set except the first target result.