Application of Defense Technologies to the Fisheries

* 9503656辛普森 这个小企业创新研究第二阶段项目的重点是宽带声纳方法的发展，在真实的时间，鱼类种群在开放的海洋环境中。 该方法使用多年来在国防相关背景下开发的声纳技术，有望应用于渔业管理。 将在研究中开发的主题涉及宽带声学，光谱分解的回报，和非线性模糊神经网络分类器的特征和区分不同的鱼类种群。 在研究的第一阶段，成功地应用了几个概念，使用淡水鱼类种群。 第二阶段的研究将扩大到开发一个工程原型，用于海洋环境中的宽带鱼类识别，具有商业和科学研究意义 渔业正在成为一个日益重要的食物来源。 目前，美国人消耗的蛋白质中有30%来自海洋，而且这一比例还在上升。 在过去的十年里，由于误捕、过度投资和海洋哺乳动物濒危，渔业经历了更多的监管。 由于加强了监管，对商业捕鱼和渔业管理的审查变得更加严格。 由于这些变化，能够自动和非侵入性地检测、分类和量化鱼类种群的技术对渔业的所有部门都具有商业利益。 ***

*** 9503656 Simpson This Small Business Innovation Research Phase II project focuses on the development of broad bandwidth sonar methods for identifying, in real time, fish populations in open ocean environments. The approach uses sonar technology, developed in defense-related contexts over many years, that hold promise for application to fishery management. Topics that will be developed in the research involve broadband acoustics, spectral decomposition of returns, and nonlinear fuzzy neural network classifiers for characterizing and distinguishing different fish populations. In Phase I of the research, a successful application of several concepts was carried out using freshwater fish populations. Phase II research will extend the work to development of an engineering prototype for broadband fish identification in a marine environment, with both commercial and scientific-research implications Fisheries are becoming an increasingly significant food source. Currently, 30% of the protein consumed by Americans comes from the sea and this percentage is growing. Over the past decade fisheries have experienced more regulation because of bycatch, overcapitalization, and marine mammal endangerment. Because of increased regulation, the scrutiny on commercial fishing and fisheries management has become intense. As a result of these changes, techniques that can automatically and non-intrusively detect, classify, and quantify fish populations are of commercial interest to all segments of the fisheries. ***