Paper
22 June 1994 Fusion of remotely sensed data and geographic information for object tracking
Pierre-Olivier Nougues, Donald E. Brown
Author Affiliations +
Abstract
We present an algorithm for tracking remotely sensed objects moving over terrain, using geographic information system information. The proposed model specifically accounts for the influence of the environment (rivers, roads, elevation, etc.) on the propagation of the probability densities. We make a number of assumptions about the motion of targets, but do not assume a priori knowledge of goal locations.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre-Olivier Nougues and Donald E. Brown "Fusion of remotely sensed data and geographic information for object tracking", Proc. SPIE 2233, Sensor Fusion and Aerospace Applications II, (22 June 1994); https://doi.org/10.1117/12.179039
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KEYWORDS
Roads

Sensors

Detection and tracking algorithms

Motion models

Data fusion

Geographic information systems

Data modeling

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