Visualize, analyze and mine satellite imagery using a single tool

R. Ramachandran, S. Graves, T. Berendes, M. Maskey, C. Chidambaram, S. Christopher, P. Hogan, T. Gaskins
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引用次数: 1

Abstract

There is a dearth of software tools that allow users to easily visualize, analyze and mine satellite imagery. The few tools that are available are expensive commercial packages that provide limited functionality. As part of a NASA funded project, a software tool named GLIDER is currently being developed to fill this void. GLIDER allows users to visualize and analyze satellite data in its native sensor view. Users can enhance the image by applying different image processing algorithms on the data. GLIDER provides the users with a full suite of pattern recognition and data mining algorithms that can be applied to the satellite imagery to extract thematic information. The suite of algorithms includes both supervised and unsupervised classification algorithms. In addition, users can project satellite imagery and analysis/mining results onto a 3D globe for visualization. GLIDER also allows users to add additional layers to the globe along with the projected image. Users can open multiple views within GLIDER to manage, visualize and analyze many data files all at once.
使用单一工具可视化、分析和挖掘卫星图像
目前还缺乏能够让用户轻松可视化、分析和挖掘卫星图像的软件工具。为数不多的可用工具是昂贵的商业软件包,提供的功能有限。作为NASA资助项目的一部分,目前正在开发一种名为GLIDER的软件工具来填补这一空白。GLIDER允许用户在其原生传感器视图中可视化和分析卫星数据。用户可以通过对数据应用不同的图像处理算法来增强图像。GLIDER为用户提供一整套模式识别和数据挖掘算法,可应用于卫星图像以提取主题信息。这套算法包括有监督和无监督分类算法。此外,用户可以将卫星图像和分析/挖掘结果投影到3D地球仪上进行可视化。GLIDER还允许用户在投影图像中添加额外的图层。用户可以在GLIDER中打开多个视图来管理、可视化和分析许多数据文件。
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