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Journal of Information Science and Engineering, Vol. 37 No. 2, pp. 395-412

A Space-Time Interactive Visualization Approach for Managing Remote Sensing Data

1Technology and Engineering Center for Space Utilization
2Key Laboratory of Space Utilization
Chinese Academy of Sciences
Beijing, 100094 P.R. China

3University of Chinese Academy of Sciences
Beijing, 100049, P.R. China
E-mail: {hjyu; shyli; zt}@csu.ac.cn

With the rapid development of earth observation technology, the remote sensing data produced gradually shows characteristics of multi-source and heterogeneous, and data volumes are also exploding. Designing approaches and tools to manage the remote sensing data brings a unique set of research and engineering challenges, specifically with regards to data condition query and interpretation. First, we extract the metadata of the data to prepare for unified data retrieval. Considering the real-time, intuitive and interactive in data management, visual images are generated and used to represent the data itself. By considering the spatial characteristics of remote sensing data, we then propose a method based on mouse real-time plotting for the setting of spatial attribute condition, and the condition can be dynamically modified based on the feedback of the query result. After getting the query result, line frame and wall projection are used to display the data spatial distribution. For the intuitiveness and accuracy of data interpretation, we present an approach based on space-time cube technology to assess in a single view where remote sensing data with different parameters is unobstructed displayed in a layered manner. The approach consists of several parts, including a stack view, two cube boxes and a data probe. As an essential component, an information balloon is used to show data parameters and provide a convenient interface for data manipulation. Finally, we demonstrate the effectiveness and the usefulness of the proposed approach using a real-world case and three tests.

Keywords: remote sensing data, data query, visual interpretation, space-time cube, visualization

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