Detecting and tracking small and dense moving objects in satellite videos: A benchmark

Q Yin, Q Hu, H Liu, F Zhang, Y Wang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …

Deep blind super-resolution for satellite video

Y **ao, Q Yuan, Q Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recent efforts have witnessed remarkable progress in satellite video super-resolution
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …

Computer vision in the infrared spectrum: challenges and approaches

M Teutsch, AD Sappa, RI Hammoud - 2021 - books.google.com
Human visual perception is limited to the visual-optical spectrum. Machine vision is not.
Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous …

Clusternet: Detecting small objects in large scenes by exploiting spatio-temporal information

R LaLonde, D Zhang, M Shah - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Object detection in wide area motion imagery (WAMI) has drawn the attention of the
computer vision research community for a number of years. WAMI proposes a number of …

DSFNet: Dynamic and static fusion network for moving object detection in satellite videos

C **ao, Q Yin, X Ying, R Li, S Wu, M Li… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
Moving object detection (MOD) in satellite videos remains challenging due to the extremely
small size of the interested targets and the highly complex background. Both the intra-frame …

Moving vehicle detection for remote sensing video surveillance with nonstationary satellite platform

J Zhang, X Jia, J Hu, K Tan - IEEE transactions on pattern …, 2021 - ieeexplore.ieee.org
With satellite platforms gazing at a target territory, the captured satellite videos exhibit local
misalignment and local intensity variation on some stationary objects that can be mistakenly …

HB-YOLO: An Improved YOLOv7 Algorithm for Dim-Object Tracking in Satellite Remote Sensing Videos

C Yu, Z Feng, Z Wu, R Wei, B Song, C Cao - Remote Sensing, 2023 - mdpi.com
The You Only Look Once (YOLO) series has been widely adopted across various domains.
With the increasing prevalence of continuous satellite observation, the resulting video …

Bidirectional multiple object tracking based on trajectory criteria in satellite videos

J Zhang, X Zhang, Z Huang, X Cheng… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Multiple object tracking (MOT) in satellite videos requires to detect all objects belonging to
specified categories and identify each object, which plays a basic and necessary role in …

RETRACTED: High temporal frequency vehicle counting from low-resolution satellite images

L Liao, J **ao, Y Yang, X Ma, Z Wang, S Satoh - 2023 - Elsevier
The description of the dataset was found to be confusingly similar to a previously published
work in IEEE Transactions on Geoscience and Remote Sensing, 60 (2022), 1–13 (https://doi …

Multi-vehicle tracking with road maps and car-following models

D Song, R Tharmarasa, T Kirubarajan… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Multi-vehicle tracking is crucial in many applications, such as traffic surveillance, intelligent
transportation systems, and advanced driver assistance systems. Most conventional multi …