Small Object Detection and Tracking in Satellite Videos With Motion Informed-CNN and GM-PHD Filter

Small Object Detection and Tracking in Satellite Videos With Motion Informed-CNN and GM-PHD Filter

Small object tracking in low-resolution remote sensing images presents numerous challenges. Targets are relatively small compared to the field of view, do not present distinct features, and are often lost in cluttered environments. In this paper, we propose a track-by-detection approach to detect an...

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Bibliographic Details
Main Authors: Camilo Aguilar, Mathias Ortner, Josiane Zerubia
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Signal Processing
Subjects:
object detection
object tracking
PHD filter
CNNs
remote sensing
Online Access:https://www.frontiersin.org/articles/10.3389/frsip.2022.827160/full

Internet

https://www.frontiersin.org/articles/10.3389/frsip.2022.827160/full

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