The present application relates to the technical field of image processing, and discloses a superobject information-based remote sensing image target extraction method. The method comprises: acquiring a remote sensing image; performing segmentation on the remote sensing image, and obtaining multiple segmented basic units of the remote sensing image; extracting image features of the segmented basic units, forming a first feature vector, combining superobject feature information of a target to be extracted from the segmented basic units, and forming a second feature vector; fusing the first feature vector and the second feature vector to form a fused feature vector; inputting the fused feature vector into a trained neural network model; and outputting, by means of the neural network model, a target type corresponding to the segmented basic units. The present application further discloses a device, an electronic apparatus, and a storage medium. The present application incorporates superobject feature information of a target to be extracted, and sufficiently utilizes of an image semantic feature and dimension information of the target, thereby enhancing effectiveness and accuracy of target extraction from remote sensing images.
SUPEROBJECT INFORMATION-BASED REMOTE SENSING IMAGE TARGET EXTRACTION METHOD, DEVICE, ELECTRONIC APPARATUS, AND MEDIUM