Results 11 to 20 of about 17,769 (298)
Object Tracking Based on Satellite Videos: A Literature Review
Video satellites have recently become an attractive method of Earth observation, providing consecutive images of the Earth’s surface for continuous monitoring of specific events.
Zhaoxiang Zhang +3 more
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Vehicle Tracking on Satellite Video Based on Historical Model
Vehicle tracking on satellite videos poses a challenge for the existing object tracking algorithms due to the few features, object occlusion, and similar objects appearance.
Shili Chen +6 more
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A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution
Intelligent processing and analysis of satellite video has become one of the research hotspots in the representation of remote sensing, and satellite video super-resolution (SVSR) is an important research direction, which can improve the image quality of
Han Wang, Shengyang Li, Manqi Zhao
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Deep Vehicle Detection in Satellite Video
This work presents a deep learning approach for vehicle detection in satellite video. Vehicle detection is perhaps impossible in single EO satellite images due to the tininess of vehicles (4-10 pixel) and their similarity to the background. Instead, we consider satellite video which overcomes the lack of spatial information by temporal consistency of ...
Roman P. Pflugfelder +2 more
openaire +2 more sources
RAMC: A Rotation Adaptive Tracker with Motion Constraint for Satellite Video Single-Object Tracking
Single-object tracking (SOT) in satellite videos (SVs) is a promising and challenging task in the remote sensing community. In terms of the object itself and the tracking algorithm, the rotation of small-sized objects and tracking drift are common ...
Yuzeng Chen +5 more
doaj +1 more source
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, e.g., bicubic downsampling, which makes them vulnerable in real-world scenes with multiple and unknown degradations.
Yi Xiao 0003 +3 more
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Despite significant advancements in remote sensing object tracking (RSOT) in recent years, achieving accurate and continuous tracking of tiny-sized targets remains a challenging task due to similar object interference and other related issues.
Jianwei Yang +4 more
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On Learning Vehicle Detection in Satellite Video
Vehicle detection in aerial and satellite images is still challenging due to their tiny appearance in pixels compared to the overall size of remote sensing imagery. Classical methods of object detection very often fail in this scenario due to violation of implicit assumptions made such as rich texture, small to moderate ratios between image size and ...
Roman P. Pflugfelder +2 more
openaire +2 more sources
Detecting Moving Vehicles from Satellite-Based Videos by Tracklet Feature Classification
Satellite-based video enables potential vehicle monitoring and tracking for urban traffic management. However, due to the tiny size of moving vehicles and cluttered background, it is difficult to distinguish actual targets from random noise and pseudo ...
Renxi Chen +2 more
doaj +1 more source
Evaluation of cross-layer reliability mechanisms for satellite digital multimedia broadcast [PDF]
This paper presents a study of some reliability mechanisms which may be put at work in the context of Satellite Digital Multimedia Broadcasting (SDMB) to mobile devices such as handheld phones.
Bazile, Caroline +9 more
core +1 more source

