Detecting and tracking small and dense moving objects in satellite videos: A benchmark
Satellite video cameras can provide continuous observation for a large-scale area, which is
important for many remote sensing applications. However, achieving moving object …
important for many remote sensing applications. However, achieving moving object …
Deep blind super-resolution for satellite video
Recent efforts have witnessed remarkable progress in satellite video super-resolution
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …
(SVSR). However, most SVSR methods usually assume the degradation is fixed and known …
Computer vision in the infrared spectrum: challenges and approaches
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 …
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
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 …
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
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 …
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
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 …
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 …
With the increasing prevalence of continuous satellite observation, the resulting video …
Bidirectional multiple object tracking based on trajectory criteria in satellite videos
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 …
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 …
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
Multi-vehicle tracking is crucial in many applications, such as traffic surveillance, intelligent
transportation systems, and advanced driver assistance systems. Most conventional multi …
transportation systems, and advanced driver assistance systems. Most conventional multi …