2026-10-13T09:31:38Z https://www.scidb.cn/oai

10.57760/sciencedb.012st 2026-09-23T11:13:02Z

2026-09-23 SAVAir: A Physics-Guided Temporal Synthetic Dataset for Satellite-Video Aircraft Detection and Tracking doi:10.57760/sciencedb.012st en SAVAir is a satellite-video aircraft dataset designed for aircraft detection, multi-object tracking, and related fine-grained analysis. The dataset contains 1,281 videos and 99,960 frames, combining real remote-sensing backgrounds with real and physics-guided synthetic aircraft instances. It provides horizontal bounding-box annotations and persistent track identities, together with oriented bounding boxes and visible-instance masks for synthetic aircraft, aircraft configuration and structural attributes, flight-phase information, sequence-level metadata, and auxiliary Chinese and English semantic descriptions. The synthetic aircraft are generated using a physics-guided temporal synthesis pipeline incorporating structural modeling, illumination and material reflectance simulation, atmospheric radiative transfer, optical degradation, product-domain calibration, and trajectory constraints. SAVAir also provides benchmark annotations and protocols for aircraft detection and multi-object tracking. SAVAir; satellite-video; aircraft-detection; Multi-object tracking; Synthetic data; Benchmark Wenyi Zhang Ying Li Xiaoyi Yin Luyan Ji Qingwei Chu RESTRICTED dataset Science Data Bank