Intelligent Analytics for Satellite Hyperspectral Imaging (View)

卫星遥感产业已经发展成为一个巨大的全球市场，并逐年持续增长。到2021年，遥感产品市场预计将达到近140亿美元。庞大且不断增长的卫星遥感数据的应用受到智能计算机算法能否有效地将数据转化为增值产品的瓶颈。波音公司，一家大型国际公司，正在建造和部署一个高光谱卫星星座，可以探测许多窄带宽的光，为一个场景捕获数百张不同的图像。人工处理这些数据是不可行的，需要自动化方法来实现高光谱数据量的实际吞吐量。由于缺乏能够从高光谱图像中准确提取有价值信息的软件工具，该项目的挑战是开发先进的计算机视觉算法，能够有效和高效地执行这项任务。因此，该项目**旨在针对**高光谱图像的特点开发快速、准确和先进的图像处理算法。这将极大地扩展卫星遥感数据的用例和应用，以各种新的商业模式和客户扩大卫星遥感市场，并为商业遥感公司创造巨大的机会和增长。

The satellite remote sensing industry has grown into a huge global market and continues to grow year after year. The market for**remote sensing products is expected to reach nearly $14 billion by 2021. The application of the huge and ever-increasing volumes**of satellite remote sensing data is bottle necked by the ability of intelligent computer algorithms to effectively transform the data**into value-added products. The Boeing Company, a massive international company, is in the process of building and deploying a**constellation of hyperspectral satellites that can detect light in many narrow bandwidths which captures hundreds of different**images for one scene. Manual processing of this data is not feasible and automated approaches are in demand for realistic**throughput of the volumes of hyperspectral data expected.**Given the lack of software tools capable of accurately extracting valuable information from hyperspectral imagery, the challenge of**this project is to develop advanced computer vision algorithms that can effectively and efficiently perform this task. This project,**therefore, aims to develop fast, accurate and advanced image processing algorithms that are tailored to the characteristics of**hyperspectral imagery. This will greatly expand the use-cases and applications of satellite remote sensing data, enlarge the**satellite remote sensing market with various new business models and customers, and create tremendous opportunities and**growth for commercial remote sensing companies.