35 citations · 114 across the 25 of their papers we have counts for
3 papers · 1 filter
gprHOG and the popularity of Histogram of Oriented Gradients (HOG) for Buried Threat Detection in Ground-Penetrating Radar
Daniel Reichman, Leslie M. Collins, Jordan M. Malof
Substantial research has been devoted to the development of algorithms that automate buried threat detection (BTD) with ground penetrating radar (GPR) data, resulting in a large nu…
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang, Daniel Reichman, Leslie M. Collins +2
In this work we consider the application of convolutional neural networks (CNNs) for pixel-wise labeling (a.k.a., semantic segmentation) of remote sensing imagery (e.g., aerial col…
On Choosing Training and Testing Data for Supervised Algorithms in Ground Penetrating Radar Data for Buried Threat Detection
Daniël Reichman, Leslie M. Collins, Jordan M. Malof
Ground penetrating radar (GPR) is one of the most popular and successful sensing modalities that has been investigated for landmine and subsurface threat detection. Many of the det…