Paper
24 July 2002 Space/ground sensor integration
Author Affiliations +
Abstract
Combining technology sensed data, even if it is of the same type, has proven to be very difficult for engineers and scientists. In the case of radar (e.g. Radarsat) and electro-optical (e.g. Ikonos) remote sensing from space, there have only been a few techniques developed to aid in the correlation and fusion of these data. With the great expansion of space-based, commercial, electro-optical remote sensing platforms during the last decade, there remains an equal need to developing new forms of data fusion from disparate data sets. This work addresses the commercial remote sensing collection process and compares it to that of acoustical remote sensing collection. In the former case, the data sets are typically two-dimensional 'snap-shots', with embedded pixel data that, in the case of panchromatic electro-optical imagery, is 'stair stepped' shades of gray. Acoustical data sets are, however, continuous. As a matter of fact, they are one-dimensional data streams, which represent, not a moment in time, but a continuous story. This work proposes that there is a better answer to combining disparate forms of data such as electro-optical and acoustical, and offers one suggestion for dealing with these data.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Byron F. Knight, Mark K. Hamilton, and Donald M. McKeown "Space/ground sensor integration", Proc. SPIE 4745, Technologies, Systems, and Architectures for Trans-National Defense, (24 July 2002); https://doi.org/10.1117/12.475859
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KEYWORDS
Acoustics

Magnetism

Electro optics

Data fusion

Remote sensing

Sensors

Image fusion

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