3 citations · 11 across the 8 of their papers we have counts for
8 papers
Fusion of heterogeneous bands and kernels in hyperspectral image processing
Muhammad Aminul Islam, Derek T. Anderson, John E. Ball +1
Hyperspectral imaging is a powerful technology that is plagued by large dimensionality. Herein, we explore a way to combat that hindrance via non-contiguous and contiguous (simpler…
State-of-the-art and gaps for deep learning on limited training data in remote sensing
John E. Ball, Derek T. Anderson, Pan Wei
Deep learning usually requires big data, with respect to both volume and variety. However, most remote sensing applications only have limited training data, of which a small subset…
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations
John E. Ball, Pan Wei
Herein, we present a system for hyperspectral image segmentation that utilizes multiple class--based denoising autoencoders which are efficiently trained. Moreover, we present a no…
LiDAR and Camera Detection Fusion in a Real Time Industrial Multi-Sensor Collision Avoidance System
Pan Wei, Lucas Cagle, Tasmia Reza +2
Collision avoidance is a critical task in many applications, such as ADAS (advanced driver-assistance systems), industrial automation and robotics. In an industrial automation sett…
Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
Pan Wei, John E. Ball, Derek T. Anderson
A significant challenge in object detection is accurate identification of an object's position in image space, whereas one algorithm with one set of parameters is usually not enoug…
Onion-Peeling Outlier Detection in 2-D data Sets
Archit Harsh, John E. Ball, Pan Wei
Outlier Detection is a critical and cardinal research task due its array of applications in variety of domains ranging from data mining, clustering, statistical analysis, fraud det…