Intelligent Analytics for Satellite Hyperspectral Imaging (View)

卫星遥感产业已经成长为一个巨大的全球市场，并在年复一年地持续增长。预计到2021年，遥感产品的市场规模将达到近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有效地将数据**转化为增值产品的能力的瓶颈。波音公司是一家大型国际公司，正在建造和部署一个**高光谱卫星星座，可以在许多狭窄的带宽上探测光线，在一个场景中捕捉数百个不同的**图像。人工处理这些数据是不可行的，需要自动化方法来达到预期的高光谱数据量的真实**吞吐量。**鉴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，**本项目的挑战是开发能够有效和高效地执行这一任务的先进的计算机视觉算法。因此，这个项目**旨在开发快速、准确和先进的图像处理算法，以适应**高光谱图像的特点。这将极大地扩大卫星遥感数据的使用案例和应用，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.