In this paper. a novel deep model based on gated recurrent residual network for electrically large complex objects recognition is proposed. It can fully exploit the data envelope information and temporal correlation to improve the system recognition performance. Electromagnetic (EM) scattering property measurements for electrically large objects are costly and time-consuming. https://www.annigora.com/product-category/liquid-and-food-products/