Research on High Resolution Optical Remote Sensing Image Technology Based on Internet Architecture

Abstract

Target detection technology in high-resolution optical remote sensing images is of great significance in both civil and military fields. Based on the Internet architecture, this paper proposes a multi-class target detection method for high-resolution and high-resolution optical remote sensing images. The fused multi-layer features are used for detection. In view of the challenges of complex background and deformation of the target, the deformable convolution network can be used for reference to extract the characteristics of the target itself and reduce the background interference In order to reduce the storage space required by the deep convolution neural network model and increase the portability of the network, I also put forward a method of lightening the network. Experiments show that our proposed method is feasible. Compared with the popular target detection method based on deep convolution neural network, our method has great advantages in precision and recall rate.