Real-time cloud sensing for efficiency improvement of optical high-resolution satellite remote sensing

Algra, T.

doi:10.1109/igarss.2003.1295499

Cited by 3 publications

(1 citation statement)

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“…Thus cloud detection plays an important role in remote sensing applications because it can effectively discard the "useless" images and then improve the imaging capacity. Furthermore, on board real-time cloud detection processing makes cloud detection more significant in satellite observation systems, for it can remove the invalid part of the image in the first place and efficiently obtain better utilization of expensive satellite resources [1] [2]. For this reason, real time cloud detection processing has become a hot research topic in the field of remote sensing.…”

Section: Introductionmentioning

confidence: 99%

Efficient FPGA implementation of cloud detection for real-time remote sensing image processing

Shan

Wang

2010

2010 Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia)

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an optimized architecture is proposed for real-time automatic cloud detection system with Spectrum and Texture Analysis Combination (STAC) approach. The STAC approach is hard to be implemented in hardware, for the calculation of fractal dimension (FD) and angle second moments (ASM) of the approach consumes large computation time and hardware resources. By optimizing the calculation process of the FD and ASM, the proposed architecture efficiently improves the processing speed and dramatically reduces the logic resources and memories consumption compared to the automatic cloud detection architecture in standard STAC approach, with a 3 times running speed improvement and a more than 75% reduction of the hard resource consumption.

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Section: Introductionmentioning

confidence: 99%