Automated benthic understanding with multimodal observations

通过多模式观测自动了解海底

• 批准号: DP190103914
• 负责人: Prof Stefan Williams
• 金额: $ 29.52万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-03-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190103914
• 关键词: Automated; benthic; understanding; multimodal; observations

This project aims to deliver cost-effective techniques to explore and monitor marine environments. The project will develop novel methods for classification of large extent, multimodality seafloor surveys consisting of high-resolution visual 3D gigamosaics made of tens of thousands of images coregistered with broad-scale, lower resolution remote sensing data. This knowledge is essential for designing cost-effective, scalable systems to explore, map and monitor Australia's marine environments. At a broader level, the approach and the techniques developed in this project have the potential to have applications in other areas such as terrestrial and intertidal ecology, extending positive impacts beyond benthic environments.

该项目旨在提供具有成本效益的技术，以探索和监测海洋环境。该项目将为大范围、多模式海底调查的分类开发新方法，包括由数万幅图像和大范围、低分辨率遥感数据共同配准的高分辨率可视三维巨型拼图。这些知识对于设计具有成本效益的可扩展系统来探索、绘制和监测澳大利亚的海洋环境至关重要。在更广泛的层面上，该项目中开发的方法和技术有可能应用于陆地和潮间带生态等其他领域，从而将积极影响扩展到海底环境之外。