Selecting Post-Processing Schemes for Accurate Detection of Small Objects in Low-Resolution Wide-Area Aerial Imagery

Selecting Post-Processing Schemes for Accurate Detection of Small Objects in Low-Resolution Wide-Area Aerial Imagery

In low-resolution wide-area aerial imagery, object detection algorithms are categorized as feature extraction and machine learning approaches, where the former often requires a post-processing scheme to reduce false detections and the latter demands multi-stage learning followed by post-processing....

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Bibliographic Details
Main Authors: Xin Gao, Sundaresh Ram, Rohit C. Philip, Jeffrey J. Rodríguez, Jeno Szep, Sicong Shao, Pratik Satam, Jesús Pacheco, Salim Hariri
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
post-processing
vehicle detection
wide-area aerial imagery
segmentation
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/2/255

Internet

https://www.mdpi.com/2072-4292/14/2/255

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