Abstract
This paper presents the results of a feasibility study on intelligent image processing for flood monitoring on board satellites. The ability to detect temporal changes in images is one of the most important functions in intelligent image processing systems for hazard and disaster monitoring applications. An automatic change detection system is proposed, the purpose of which is to monitor particular areas on earth for flooding events and give warnings to the authorities accordingly. A novel solution to flood detection based on the combined use of optical multispectral imagery and global positioning system reflectometry data is introduced. A fuzzy inference engine is used in the decision-making process, which generates control signals to other subsystems on board the satellite.
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Abbreviations
- ACCA:
-
Automatic cloud cover assessment
- AFRL:
-
Air Force Research Laboratory
- AOCS:
-
Attitude and orbit control system
- CCD:
-
Charge-coupled device
- CHRIS:
-
High resolution imaging spectrometer
- COTS:
-
Commercial-off-the-shelf
- DMC:
-
Disaster monitoring constellation
- DSP:
-
Digital signal processor
- EO:
-
Earth observation
- EO-1:
-
NASA’s earth observing one satellite
- ESA:
-
European Space Agency
- FPGA:
-
Field programmable gate array
- GPS:
-
Global positioning system
- HDDR:
-
Hard disc data recorder
- HPC-1:
-
High performance computing payload
- LEO:
-
Low earth orbit
- MEIS:
-
Meteorological earth imaging system
- MSEIS:
-
Multi-spectral earth imaging system
- NIR:
-
Near-infrared
- PDH:
-
Payload data handling system
- PPU:
-
Parallel processing unit (X-Sat)
- PPU:
-
Payload processing unit (PROBA)
- PROBA:
-
Project for on-board autonomy
- SAR:
-
Synthetic aperture radar
- SSDR:
-
Solid state data recorder
- SSTL:
-
Surrey Satellite Technology Ltd
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Acknowledgments
The provision of DMC multispectral satellite images by SSTL and DMCii is gratefully acknowledged. This research is funded by the Government of Malaysia.
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Vladimirova, T., Yuhaniz, S. An intelligent decision-making system for flood monitoring from space. Soft Comput 15, 13–24 (2011). https://doi.org/10.1007/s00500-009-0514-1
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DOI: https://doi.org/10.1007/s00500-009-0514-1