6 papers
Single Image Cloud Detection via Multi-Image Fusion
Scott Workman, M. Usman Rafique, Hunter Blanton +2
Artifacts in imagery captured by remote sensing, such as clouds, snow, and shadows, present challenges for various tasks, including semantic segmentation and object detection. A pr…
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
Armin Hadzic, Hunter Blanton, Weilian Song +3
Roadway free-flow speed captures the typical vehicle speed in low traffic conditions. Modeling free-flow speed is an important problem in transportation engineering with applicatio…
Joint 2D-3D Breast Cancer Classification
Gongbo Liang, Xiaoqin Wang, Yu Zhang +4
Breast cancer is the malignant tumor that causes the highest number of cancer deaths in females. Digital mammograms (DM or 2D mammogram) and digital breast tomosynthesis (DBT or 3D…
2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
Yu Zhang, Xiaoqin Wang, Hunter Blanton +3
Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical pr…
Learning to Map Nearly Anything
Tawfiq Salem, Connor Greenwell, Hunter Blanton +1
Looking at the world from above, it is possible to estimate many properties of a given location, including the type of land cover and the expected land use. Historically, such task…
Remote Estimation of Free-Flow Speeds
Weilian Song, Tawfiq Salem, Hunter Blanton +1
We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata. The free-flow speed of a road segment is the average observed v…