In order to solve the problem of large data volume brought by traditional Nyquist sampling theorem in radar signal detection, a compressive detection (CD) model based on compressed sensing (CS) theory is proposed analyzing sparsity target range domain. The lower rate completes field. On this basis, two-dimensional distribution Doppler unit established moving detention (MTD), and achieved with constant false alarm (2D-CFAR) algorithm. simulation experiment results prove that algorithm can...

Abstract In the field of single-image super-resolution (SISR) research, neural networks and deep learning methods are gradually being widely used by researchers. Over time, fields application have expanded in scope. The SISR method is also applied intelligent satellite imagery. recent years, research applications based on images mostly focused imaging, classification, segmentation. They rarely been actual observation problems. This article proposes a new network model, Laplacian pyramid...

In recent years, with the rapid development of deep learning, neural network and other related technologies their wide application in image processing research, degree intelligence field research is getting higher higher. Especially small target detection, because its relatively shape, has few unclear feature information detail information, which makes it easy to make errors omissions recognition detection. To improve precision satellite this paper processes a super-resolution detection...

In this paper, short reference code index differential chaotic shift keying can enhance the security performance of system in space laser communication system. Through transmission picture information, confidentiality is analyzed. The pixel correlation analysis, statistical histogram, and plaintext sensitivity prove that has high performance.

Abstract For solving the problem of simple information image super-resolution reconstruction, this paper proposes a method based on ACGAN and dual-channel dense residual networks. Firstly, different represented by images is classified to form types datasets. Focusing feature information, used learn generate with kind in type dataset so as achieve enhancement. Secondly, study designed proposed network train enhanced reconstruction. Experiments show that not only can obtain higher...

Using the principle of SR-DCSK scheme and applying code index modulation to information bearing signal, this paper presents a differential shift keying with Short Reference Code Index, applies it space laser communication system, improving security performance system.

This study employs a deep segmented residual neural network model to analyze the super-resolution of single satellite image. A convolutional was analyzed, and its performance improved. We proposed two layers divide into groups, sum residuals is total residual, which can minimize loss function enhance performance. The experimental achieved high peak signal-to-noise ratio (PSNR) structural similarity index (SSIM) than networks without improvements when tested on images. Considering these...