MCTracker: Satellite video multi-object tracking considering inter-frame motion correlation and multi-scale cascaded feature enhancement

B Wang, H Sui, G Ma, Y Zhou - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
The video data captured by satellites, colloquially referred to as “gazing,” holds significant
value for analyzing object status and dynamically tracking movements. Such data and their …

Less is more: A semi-supervised fine-grained object detection for satellite video

Z Zhou, S Li - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
Satellite video fine-grained object detection aims to accurately locate and finely identify
objects of interest in sequence frames with a wide range of application requirements …

A Joint Network of Super-resolution and Active Learning for Agricultural Land Classification

J Yang, Z Wang, D Chen, S Xiao… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Remote sensing image analysis plays a vital role in achieving intelligent agricultural
monitoring. However, the acquisition of high-resolution agricultural remote sensing data can …

Modified ESRGAN with Uformer for Video Satellite Imagery Super-Resolution

K Karwowska, D Wierzbicki - Remote Sensing, 2024 - mdpi.com
In recent years, a growing number of sensors that provide imagery with constantly
increasing spatial resolution are being placed on the orbit. Contemporary Very-High …

Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos

C Xiao, W An, Y Zhang, Z Su, M Li… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Moving object detection in satellite videos (SVMOD) is a challenging task due to the
extremely dim and small target characteristics. Current learning-based methods extract …

SATDark: A Satellite Video Low-light Tracking Benchmark for Dark and Weak Vehicles

J Pan, Y Gu, G Gao, Q Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Satellite video single object tracking (SVSOT) stands as a pivotal research area. However, it
faces significant challenges in low-light environments, particularly when dealing with dark …

Disasters: Risk assessment, management, and post-disaster studies using remote sensing

N Kerle - Remote Sensing Handbook, Volume VI, 2024 - taylorfrancis.com
There has been enormous progress in remote sensing in the last 60 years that has vastly
benefited disaster risk management (DRM), the summary term used here to address risk and …

Transformer Tracking for Satellite Video: Matching, Propagation and Prediction

M Zhao, S Li, J Yang - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
Recently, transformer-based trackers have brought overwhelming advantages in general
video. However, their performance in satellite video has been hindered by insufficient …

BSVOS: Background Interference Suppression Strategy for Satellite Video Multi-Object Segmentation

L Kou, S Li, J Yang, Y Lv - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Video satellites provide dynamic real-time monitoring of hotspot areas and objects by
continuously imaging objects within a specified sequence, providing dynamic information …

A Lightweight Recurrent Aggregation Network for Satellite Video Super-Resolution

H Wang, S Li, M Zhao - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
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 …