首页|Biological eagle eye-based method for change detection in water scenes
Biological eagle eye-based method for change detection in water scenes
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NSTL
Elsevier
Change detection (CD) is an important vision task for autonomous landing of unmanned aerial vehicles (UAV) on water. High-density photoreceptors and lateral inhibition mechanisms have inspired a novel bi-ologic computational method based on structure and properties in eagle eyes as proposed for change de-tection. We call this method "STabCD," which ensures spatiotemporal distribution consistency to achieve foreground acquisition, noise reduction, and background adaptability. Therefore, our proposed model re-sponds strongly to object information and suppresses noise and wave textures. Then, we present a cloning method to simulate water scenes and collect a new synthetic dataset (called "Synthetic Boat Sequence") for UAV vision research. Besides, we utilize synthetic datasets and corresponding real datasets to conduct change detection experiments. The experimental results indicate that: 1) the STabCD model achieves the best results in real or synthetic water landing scenes; and 2) change detection models for UAV can be quantitatively analyzed and tested under challenging synthetic scenarios. (c) 2021 Elsevier Ltd. All rights reserved.
NSTL
Elsevier
