Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing throughput. In this application, data comes from high bandwidth sensors, where the processing is time-critical. There is limited space and power for processing the data in the sensor platforms or in battlefield groundstations....

Engineering geodesy has undergone significant changes in recent years. Most obvious is the transition from analog to digital operating modes. Automation of surveying instruments is indeed in high demand. The automation in the area of tacheometer measurement systems has began years ago with automatic target recognition (ATR) and tracking features. Image processing has become a powerful tool of s...

--Current research on target detection and recognition from synthetic aperture radar (SAR) images is usually carried out separately. It is difficult to verify the ability of a target recognition algorithm for adapting to changes in the environment. To realize the whole process of SAR automatic target recognition (ATR), especially for the detection and recognition of vehicles, an algorithm based...

In this paper a machine learning approach is applied to Automatic Term Recognition (ATR). Similar approaches have been successfully used in Automatic Keyword Extraction (AKE). Using a dataset consisting of Swedish patent texts and validated terms belonging to these texts, unigrams and bigrams are extracted and annotated with linguistic and statistical feature values. Experiments using a varying...

In this paper, a method of Synthetic Aperture Radar (SAR) image Automatic Target Recognition (ATR) based on Convolution Auto-encode (CAE) and Support Vector Machine (SVM) is proposed. Using SVM replaces the traditional softmax as classifier CAE model to classify feature vectors extracted by model, which solves problem that less effective in nonlinear case. Since can only solve binary classifica...

The integration of deep learning methods, especially Convolutional Neural Networks (CNN), and Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has been widely deployed in the field radar signal processing. Nevertheless, these methods are frequently regarded as black-box models due to limited visual interpretation their internal feature representation parameter organization. In th...

John A. Richards Alan S. Willsky, MEMBER SPIE John W. Fisher III Massachusetts Institute of Technology Laboratory for Information and Decision Systems 77 Massachusetts Avenue Cambridge, Massachusetts 02139 E-mail: [email protected] Abstract. A key issue in the development and deployment of modelbased automatic target recognition (ATR) systems is the generation of target models to popula...