MyJournals Home  

RSS FeedsRemote Sensing, Vol. 13, Pages 3691: Deep Learning-Based Method for Detection of External Air Conditioner Units from Street View Images (Remote Sensing)

 
 

15 september 2021 15:48:12

 
Remote Sensing, Vol. 13, Pages 3691: Deep Learning-Based Method for Detection of External Air Conditioner Units from Street View Images (Remote Sensing)
 


Heat waves may negatively impact the economy and human life under global warming. The use of air conditioners can reduce the vulnerability of humans to heat wave disasters. However, air conditioner usage has been not clear until now. Traditional registration investigation methods are cumbersome and require expensive labor and time. This study used a Labelme image tagging tool and an available street view images database to firstly establish a monographic dataset to detect external air conditioner unit features and proposed two deep learning algorithms of Mask-RCNN and YOLOv5 to automatically retrieve air conditioners. The training dataset used street view images in the 2nd Ring Road area of downtown Beijing. The model evaluation mAP of Mask-RCNN and YOLOv5 reached 0.99 and 0.9428. In comparison, the performance of YOLOv5 was superior, which is attributed to the YOLOv5 model being better at detecting smaller target entities equipped with a lighter network structure and an enhanced feature extraction network. We demonstrated the feasibility of using street view images to retrieve air conditioners and showed their great potential to detect air conditioners in the future.


 
67 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 13, Pages 3690: SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis (Remote Sensing)
Remote Sensing, Vol. 13, Pages 3692: High Resolution Apparent Thermal Inertia Mapping on Mars (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2021 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten