Visual analysis for live LIDAR battlefield change detection

Thomas Butkiewicz; Remco Chang; Zachary Wartell; William Ribarsky

doi:10.1117/12.777158

15 April 2008 Visual analysis for live LIDAR battlefield change detection

Thomas Butkiewicz, Remco Chang, Zachary Wartell, William Ribarsky

Proceedings Volume 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display; 69830B (2008) https://doi.org/10.1117/12.777158
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

We present the framework for a battlefield change detection system that allows military analysts to coordinate and utilize live collection of airborne LIDAR range data in a highly interactive visual interface. The system consists of three major components: The adaptive and self-maintaining model of the battlefield selectively incorporates the minority of new data it deems significant, while discarding the redundant majority. The interactive interface presents the analyst with only the minute portion of the data the system deems relevant, provides tools to facilitate the decision making process, and adjusts its behavior to reflect the analyst's objectives. Finally, the cycle is completed by the generation of a goal map for the LIDAR collection hardware that instructs as to which areas should be sampled next in order to best advance the change detection task. All together, the system empowers analysts with the ability to make sense of a deluge of measurements by extracting the salient features and continually refining its definitions of relevancy.

Citation Download Citation

Thomas Butkiewicz, Remco Chang, Zachary Wartell, and William Ribarsky "Visual analysis for live LIDAR battlefield change detection", Proc. SPIE 6983, Defense and Security 2008: Special Sessions on Food Safety, Visual Analytics, Resource Restricted Embedded and Sensor Networks, and 3D Imaging and Display, 69830B (15 April 2008); https://doi.org/10.1117/12.777158

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