4 papers
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
Alan B. Cannaday, Curt H. Davis, Grant J. Scott +2
Here we demonstrate how Deep Neural Network (DNN) detections of multiple constitutive or component objects that are part of a larger, more complex, and encompassing feature can be…
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
Alex Yang, Charlie T. Veal, Derek T. Anderson +1
Superpixel-based methodologies have become increasingly popular in computer vision, especially when the computation is too expensive in time or memory to perform with a large numbe…
Measuring Conflict in a Multi-Source Environment as a Normal Measure
Pan Wei, John E. Ball, Derek T. Anderson +2
In a multi-source environment, each source has its own credibility. If there is no external knowledge about credibility then we can use the information provided by the sources to a…
Multi-Sensor Conflict Measurement and Information Fusion
Pan Wei, John E. Ball, Derek T. Anderson
In sensing applications where multiple sensors observe the same scene, fusing sensor outputs can provide improved results. However, if some of the sensors are providing lower quali…