Infrastructure management (and its associated processes) is complex to understand, perform and thus, hard to
make efficient and effective informed decisions. The management involves a multi-faceted operation that requires
the most robust data fusion, visualization and decision making. In order to protect and build sustainable critical
assets, we present our on-going multi-disciplinary large-scale project that establishes the Integrated Remote Sensing
and Visualization (IRSV) system with a focus on supporting bridge structure inspection and management.
This project involves specific expertise from civil engineers, computer scientists, geographers, and real-world
practitioners from industry, local and federal government agencies.
IRSV is being designed to accommodate the essential needs from the following aspects: 1) Better understanding
and enforcement of complex inspection process that can bridge the gap between evidence gathering
and decision making through the implementation of ontological knowledge engineering system; 2) Aggregation,
representation and fusion of complex multi-layered heterogeneous data (i.e. infrared imaging, aerial photos and
ground-mounted LIDAR etc.) with domain application knowledge to support machine understandable recommendation
system; 3) Robust visualization techniques with large-scale analytical and interactive visualizations
that support users' decision making; and 4) Integration of these needs through the flexible Service-oriented
Architecture (SOA) framework to compose and provide services on-demand.
IRSV is expected to serve as a management and data visualization tool for construction deliverable assurance
and infrastructure monitoring both periodically (annually, monthly, even daily if needed) as well as after extreme