Published December 2, 2020
| Version 2
Dataset
Open
Semantic Segmentation of Time Series Imagery Using Deep Convolutional Neural Networks: A Case Study of Sandbars in Grand Canyon
Authors/Creators
- 1. Northern Arizona University
- 2. Marda Science LLC
- 3. U.S. Geological Survey
- 4. Southern Utah University
Description
This dataset contains imagery used to train and test Deep Convolutional Neural Networks for the purpose of binary semantic segmentation of a time series of oblique imagery capturing sandbar monitoring sites in The Grand Canyon. In addition the scripts needed for removing image distortion, registering, rectifying, and labeling imagery is present.