ARTICLE

How Deep Learning for Remote Sensing Produces Quicker, Higher-Quality Results

Woolpert’s Daniel Ngoroi writes about how deep learning is helping the geospatial industry address the diversity and deluge of data by making the production process more efficient and effective. His article, “How Deep Learning for Remote Sensing Produces Quicker, Higher-Quality Results,” is the cover feature on the September issue of xyHt.

The PDF of the article is below, courtesy of xyHt. To view the entire issue, visit https://bt.e-ditionsbyfry.com/publication/?i=717753