Biological eagle eye-based method for change detection in water scenes

作者：

Highlights：

• In this work, a novel biologic computational method based on structure and properties in eagle eyes as proposed for change detection.

• Besides, we present a cloning method to simulate water scenes and collect a new synthetic dataset (called “Synthetic Boat Sequence”) for UAV vision research. The synthetic dataset is available at: https://github.com/lx7555/Synthetic-Boat-Sequence, which may has large potential to benefit the change detection community in the future.

• Furthermore, we utilize synthetic datasets and corresponding real datasets to conduct change detection experiments. The experimental results demonstrate that the bionic vision model has a good performance in water scenes.

摘要

•In this work, a novel biologic computational method based on structure and properties in eagle eyes as proposed for change detection.•Besides, we present a cloning method to simulate water scenes and collect a new synthetic dataset (called “Synthetic Boat Sequence”) for UAV vision research. The synthetic dataset is available at: https://github.com/lx7555/Synthetic-Boat-Sequence, which may has large potential to benefit the change detection community in the future.•Furthermore, we utilize synthetic datasets and corresponding real datasets to conduct change detection experiments. The experimental results demonstrate that the bionic vision model has a good performance in water scenes.

论文关键词：Change detection,Eagle eye,Synthetic boat sequence,Synthetic dataset,Unmanned aerial vehicle

论文评审过程：Received 24 February 2021, Revised 29 June 2021, Accepted 14 July 2021, Available online 11 August 2021, Version of Record 23 August 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108203