SBIR Phase I: Fisheries Data Fusion

SBIR 第一阶段：渔业数据融合

• 批准号: 0109789
• 负责人: Eric Rogers
• 金额: $ 10万
• 依托单位: Scientific Fishery Systems, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0109789&HistoricalAwards=false
• 关键词: SBIR; Phase; Fisheries; Data; Fusion

This Small Business Innovation Research (SBIR) Phase I project will develop a tool for fisheries biomass assessment that fuses airborne LIDAR with ship-borne SONAR data. This is expected to be an improved survey technique that extends a fishery survey area while also increasing the quality of the data that is collected. Phase I will apply the system to two important fisheries issues: the decline of the endangered Stellar Sea Lion population in the presence of commercial fishing; and the need for increased information for salmon life cycle modeling. Both of these issues impact thousands of lives in Alaska and the Pacific Northwest. The mathematical relationship between LIDAR and SONAR backscatter will be established. A prototype fusion engine will be developed and validated on existing data from the North Pacific.The system will be migrated to a web-based prototype LIDAR-SONAR data fusion engine for use in the fisheries management and scientific communities. A real-time data fusion engine will be deployed for future fish survey operations.

这项小企业创新研究（SBIR）第一阶段项目将开发一种用于渔业生物量评估的工具，该工具将机载激光雷达与舰载声纳数据融合在一起。预计这将是一种改进的调查技术，扩大渔业调查范围，同时也提高所收集数据的质量。第一阶段将把该系统应用于两个重要的渔业问题：在商业捕鱼的存在下，濒临灭绝的星海狮数量下降；以及对鲑鱼生命周期建模信息的需求。这两个问题都影响着阿拉斯加和太平洋西北地区成千上万的生命。建立激光雷达与声纳后向散射之间的数学关系。将根据北太平洋的现有数据开发和验证一个原型聚变发动机。该系统将迁移到基于网络的原型LIDAR-SONAR数据融合引擎，用于渔业管理和科学界。实时数据融合引擎将用于未来的鱼类调查作业。