High-resolution inverse synthetic aperture radar （ISAR） images play a crucial role in target recognition. However， obtaining high-resolution ISAR images requires prolonged radar exposure， which does not meet the demands of radar resource scheduling. In this paper， we propose a recognition method that guides radar image feature fusion based on incidence angles. A portion of pulse accumulation imaging during the dwell time is selected to meet the temporal adjustments and allocations of the remaining radar functions. Considering the differences in modulation phenomena among images of different aircraft models and the modulation variations of the same model at different incident angles， a hybrid attention residual module and angle-guided attention module are designed to focus the network on critical areas of the image and correlate target features with target attitudes. A feature fusion module is employed to integrate image features for fusion recognition. Through practical data of three types of aircraft， we demonstrate that this method achieves higher recognition accuracy while satisfying radar resource scheduling requirements.

Aiming at the problem that the determination of key elements such as force， time and camouflage resources in the camouflage scheme is based on the subjective experience of camouflage commanders， the ontology technology is used to describe the camouflage characteristic parameters of military targets， the operation rules of camouflage， camouflage and false target camouflage are designed and optimized， and the framework of camouflage scheme aided design system is established. The parameters of camouflage targets after ontology are analyzed， and the time of camouflage scheme is automatically deduced. The quantitative results of the key elements of the camouflage scheme of troops and camouflage resources are automatically reasoned to form the auxiliary suggestions of the camouflage scheme. Taking three types of typical military targets in the artillery position system as an example， the proposed system can ontologize their corresponding target parameters and generate reasoning results that conform to military reality， which has certain camouflage action guidance value.