2026-10-13T06:19:47Z https://www.scidb.cn/oai

10.57760/sciencedb.space.03581 2026-05-21T11:25:29Z

2026-05-21 Spot Detection Algorithm Simulation Dataset doi:10.57760/sciencedb.space.03581 en The simulation dataset utilized in this research comprises 2048×2048 resolution, 10-bit grayscale images specifically synthesized to replicate the rigorous conditions of inter-satellite laser communication. By superimposing Additive White Gaussian Noise (AWGN) across a Signal-to-Noise Ratio (SNR) range of 30 dB to 5 dB and introducing morphological edge loss from 0% to 60%, the dataset effectively simulates intense celestial background interference and beam truncation caused by platform jitter. To ensure the statistical integrity of the benchmarking process, each degradation scenario underwent 10,000 independent Monte Carlo trials, providing a robust evaluation of the algorithm's sub-pixel localization accuracy and reliability through metrics such as Root Mean Square Error (RMSE) and Positioning Success Rate (PSR) under extreme spaceborne environments. Algorithm; Simulation Dataset; Spot Detection Zhihong Liu EMBARGO https://creativecommons.org/publicdomain/zero/1.0/ dataset http://www.doi.org/10.3390/s26103178 Science Data Bank