Results 11 to 20 of about 13,481 (245)
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
doaj +3 more sources
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
doaj +2 more sources
Super-Resolution for “Jilin-1” Satellite Video Imagery via a Convolutional Network [PDF]
Aoran Xiao +2 more
exaly +2 more sources
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
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
doaj +1 more source
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
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
openaire +2 more sources
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
Object tracking is one of the most important components in numerous applications of computer vision. Remote sensing videos provided by commercial satellites make it possible to extend this topic into the earth observation domain.
Zhaopeng Hu +3 more
doaj +1 more source
Adaptive robust video broadcast via satellite [PDF]
With increasing demand for multimedia content over channels with limited bandwidth and heavy packet losses, higher coding efficiency and stronger error resiliency is required more than ever before. Both the coding efficiency and error resiliency are two opposing processes that require appropriate balancing. On the source encoding side the video encoder
Muhammad Altaf +4 more
openaire +1 more source

