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Dark-AIRNET: A Deep Learning Network For Image-Based Estimation of Air Particulate Concentration by Mustafa Ustuner is a document available to read on EtoBox.

What is Dark-AIRNET: A Deep Learning Network For Image-Based Estimation of Air Particulate Concentration about?

The document presents Dark-AIRNET, a deep learning model designed to estimate air particulate concentrations from night-time images, addressing the challenges posed by low illumination and spurious light sources. It emphasizes the need for a dedicated model for night-time images due to their unique characteristics and introduces a robust dataset of 60,000 night images with corresponding PM2.5 and PM10 values. This research represents a significant advancement in air quality monitoring, particularly in urban

Author

Mustafa Ustuner

Language

EN