Image processing method in multispectral image fusion process

The embodiment of the invention provides an image processing method in a multispectral image fusion process. The method comprises the following steps: acquiring a source image I and a source image N; respectively carrying out image registration on the source image I and the source image N; feature extraction is carried out on a result obtained after image registration is carried out on the source image I and the source image N; feature classification is carried out on results obtained after feature extraction is carried out on the source image I and the source image N; and performing decision fusion based on a result after feature classification. Through the development of the three-light fusion time series data technology, the power equipment deep learning technology can effectively realize power grid equipment fault detection, and the maintenance accuracy and stability are greatly improved. 本申请实施例提出了多光谱图像融合过程中的图像处理方法，包括获取源图像I和源图像N；对源图像I和源图像N分别进行图像配准；对源图像I和源图像N进行图像配准后的结果进行特征提取；对源图像I和源图像N进行特征提取后的结果进行特征分类；基于特征