SBIR Phase I: Fisheries Data Fusion

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船载声纳数据融合在一起。 预计这将是一种改进的调查技术，扩大渔业调查区域，同时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，濒危的恒星海狮种群数量的下降;以及需要增加鲑鱼生命周期建模的信息。 这两个问题都影响着阿拉斯加和太平洋西北部成千上万的人的生活。 建立了激光雷达和声纳后向散射之间的数学关系。 将根据北太平洋现有数据开发和验证一个原型融合引擎，该系统将转移到一个基于网络的原型激光雷达-声纳数据融合引擎，供渔业管理和科学界使用。 将为今后的鱼类调查作业部署一个实时数据融合引擎。

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.