Automatic Identification of Public Lighting Failures in Satellite Images: A Case Study in Seville, Spain
Author:
Affiliation:
1. University of Trás-os-Montes and Alto Douro,Vila Real,Portugal,5000-801
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281533.pdf?arnumber=10281533
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1. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors;wang,2022
2. Automated Extraction of Street Lights From JL1-3B Nighttime Light Data and Assessment of Their Solar Energy Potential
3. Evaluating Road Lighting Quality Using High-Resolution JL1-3B Night-time Light Remote Sensing Data: A Case Study in Nanjing, China;xu;Remote Sensing,2022
4. Improving YOLOv5 with Attention Mechanism for Detecting Boulders from Planetary Images
5. A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B
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