Remote sensing target detection method and device, electronic equipment and storage medium

The invention provides a remote sensing target detection method and device, electronic equipment and a storage medium, and can be applied to the technical field of image processing. The method comprises the following steps: performing feature extraction on a target remote sensing image by using different feature extraction branches of a convolutional neural network to obtain a plurality of feature maps; performing channel conversion on the plurality of feature maps to obtain conversion maps corresponding to the plurality of feature maps, and obtaining a plurality of conversion maps; performing feature extraction on the plurality of conversion graphs and the target remote sensing image by using a network based on a self-attention mechanism to obtain a plurality of target feature graphs; and detecting a target object in the target remote sensing image according to the plurality of target feature maps. 本公开提供了一种遥感目标检测方法、装置、电子设备及存储介质，可以应用于图像处理技术领域。该方法包括：利用卷积神经网络的不同特征提取支路对目标遥感图像进行特征提取，得到多个特征图；对多个特征图分别进行通道转换，得到与多个特征