Articles with "aerial object" as a keyword



Target-Aware Bidirectional Fusion Transformer for Aerial Object Tracking

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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3627298

Abstract: The trackers based on lightweight neural networks have achieved great success in the field of aerial object tracking, most of which aggregate multilayer deep features to improve the tracking quality. However, existed algorithms generally combine… read more here.

Keywords: target aware; fusion; aerial object; object tracking ... See more keywords

Analytical Formulas for Underwater and Aerial Object Localization by Gravitational Field and Gravitational Gradient Tensor

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Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2017.2722475

Abstract: Object localization techniques have significant applications in civil fields and safety problems. A novel analytical formula is developed for accurate underwater and aerial object real-time localization by combining gravitational field and horizontal gravitational gradient anomalies.… read more here.

Keywords: aerial object; underwater aerial; gravitational field; gravitational gradient ... See more keywords

Dynamic Temporal–Spatial Regularization-Based Channel Weight Correlation Filter for Aerial Object Tracking

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

DOI: 10.1109/lgrs.2021.3106320

Abstract: Correlation filter (CF) has drawn extensive interest in aerial object tracking due to its remarkable performance. Recently, the popular CF methods based on temporal–spatial regularization have been proved to be able to effectively improve the… read more here.

Keywords: object tracking; regularization; correlation filter; spatial regularization ... See more keywords

AODet: Aerial Object Detection Using Transformers for Foreground Regions

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3407815

Abstract: Aerial object detection is an important task and has received significant attention in recent years. Aerial images typically depict small and sparse instances against a simple background. Nevertheless, the simple background can only provide limited… read more here.

Keywords: detection; detection using; foreground regions; object detection ... See more keywords