Automated, near real-time inspection of commercial sUAS imagery using deep learning
Year: 2018
Type: conference-paper
Source: SPIE Unmanned Systems Technology
DOI: 10.1117/12.2304967
Institution: SoarTech (United States)
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W2799447385
