Structural inversion of radar emitter based on stacked convolutional autoencoder and deep neural network

Radar Emitter Signal Recognition Based on EMD and Neural Network

Radar emitter signal (RES) recognition is the important content in radar reconnaissance and signal processing. In order to study the problem of RES recognition, and to improve the RES recognition rate of the electronic warfare equipment, the empirical mode decomposition (EMD) theory and wavelet packet (WP) are introduced into RES feature extraction. A new RES recognition method is proposed base...

Video retrieval based on deep convolutional neural network

Recently, with the enormous growth of online videos, fast video retrieval research has received increasing attention. As an extension of image hashing techniques, traditional video hashing methods mainly depend on hand-crafted features and transform the realvalued features into binary hash codes. As videos provide far more diverse and complex visual information than images, extracting features ...

Some Improvements on Deep Convolutional Neural Network Based Image Classification

We investigate multiple techniques to improve upon the current state of the art deep convolutional neural network based image classification pipeline. The techniques include adding more image transformations to the training data, adding more transformations to generate additional predictions at test time and using complementary models applied to higher resolution images. This paper summarizes o...

PolSAR Image Classification Based on Deep Convolutional Neural Network

For introducing the advantages of feature learning and multilayer network in the interpretation of Polarimetric synthetic aperture radar (PolSAR) image, a classification algorithm based on deep convolutional neural network is proposed, and is used for PolSAR image classification. Firstly, a special convolutional neural network (CNN) for PolSAR image is constructed, secondly, a large number of P...

[Article] EEG Based Eye State Classification using Deep Belief Network and Stacked AutoEncoder