Articles with "satellite videos" as a keyword



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DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3124222

Abstract: 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 (static) and inter-frame (dynamic) information are of great… read more here.

Keywords: network; detection; object detection; satellite videos ... See more keywords
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Deep Siamese Network With Motion Fitting for Object Tracking in Satellite Videos

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3158652

Abstract: With the advancement in remote sensing satellite technology, object tracking in satellite videos has become an emerging research field. However, due to small object size, little appearance features, and poor distinguishability between targets and the… read more here.

Keywords: object tracking; network; motion; tracking satellite ... See more keywords
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Object Tracking in Satellite Videos: A Spatial-Temporal Regularized Correlation Filter Tracking Method With Interacting Multiple Model

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3179770

Abstract: Target occlusion is common in satellite videos, which makes object tracking difficult because most state-of-the-art trackers are not robust to occlusion, particularly complete occlusion. In this letter, we propose a novel correlation filter algorithm with… read more here.

Keywords: object tracking; correlation filter; satellite videos; interacting multiple ... See more keywords
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Online Structured Sparsity-Based Moving-Object Detection From Satellite Videos

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Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.2976855

Abstract: Inspired by the recent developments in computer vision, low-rank and structured sparse matrix decomposition can be potentially be used for extract moving objects in satellite videos. This set of approaches seeks for rank minimization on… read more here.

Keywords: lsd; low rank; online; satellite videos ... See more keywords
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MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2021.3109028

Abstract: Recently, satellite videos provide a new way to dynamically monitor the Earth’s surface. The interpretation of satellite videos has attracted more and more attentions. In this article, we focus on the problem of the vehicle… read more here.

Keywords: vehicle; vehicle tracking; satellite videos; background ... See more keywords
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Very Low-Resolution Moving Vehicle Detection in Satellite Videos

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3179502

Abstract: This article proposes a practical end-to-end neural network framework to detect tiny moving vehicles in satellite videos with low imaging quality. Some instability factors, such as illumination changes, motion blurs, and low contrast to the… read more here.

Keywords: low resolution; vehicle detection; detection; moving vehicle ... See more keywords
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Blind Superresolution of Satellite Videos by Ghost Module-Based Convolutional Networks

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3233099

Abstract: Deep learning (DL)-based video satellite superresolution (SR) methods have recently yielded superior performance over traditional model-based methods by using an end-to-end manner. Existing DL-based methods usually assume that the blur kernels are known and, thus,… read more here.

Keywords: blur kernel; ghost module; module based; satellite videos ... See more keywords
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Bidirectional Multiple Object Tracking Based on Trajectory Criteria in Satellite Videos

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3235883

Abstract: 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 automatic driving, traffic surveillance, and smart city.… read more here.

Keywords: object tracking; based trajectory; multiple object; trajectory criteria ... See more keywords
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SiamMDM: An Adaptive Fusion Network With Dynamic Template for Real-Time Satellite Video Single Object Tracking

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3271645

Abstract: Tracking moving targets in satellite videos has attracted wide attention recently. However, the development of target tracking in satellite videos is much slower than that in general videos for the following key reasons. First, typical… read more here.

Keywords: network; template; satellite video; satellite videos ... See more keywords
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CFTracker: Multi-Object Tracking with Cross-Frame Connections in Satellite Videos

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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3278107

Abstract: Multi-object tracking (MOT) in satellite videos is an essential topic with many applications, such as traffic monitoring and disaster response. However, many multi-object trackers that perform well in natural scenes show weak generalization in satellite… read more here.

Keywords: cftracker; cross frame; cross; multi object ... See more keywords
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Needles in a Haystack: Tracking City-Scale Moving Vehicles From Continuously Moving Satellite

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Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2944097

Abstract: In recent years, the satellite videos have been captured by moving satellite platforms. In contrast to consumers, movies, and common surveillance videos, satellite videos can record the snapshots of city-scale scenes. In a broad field-of-view… read more here.

Keywords: moving vehicles; moving satellite; satellite videos; city scale ... See more keywords