On the effectiveness of cloud cover avoidance methods in support of the Super-spectral Mission for Land Applications

Algra, T.

doi:10.1109/igarss.2002.1025750

Cited by 4 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the calculating operation for the figures below the diagonal line is different from that on the diagonal line, a specific memory arrangement in which all the figures on the diagonal line are stored in succession followed by the figures below the diagonal line is adopted so that the memory access will be much easier. The address mapping is defined in (1). Furthermore, a lookup table is referred to speed up the address mapping operation.…”

Section: Optimized Architecture For Cal_asmmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

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)

View full text Add to dashboard Cite

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.

show abstract

Section: Optimized Architecture For Cal_asmmentioning

confidence: 99%

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)

View full text Add to dashboard Cite

show abstract

“…Algra [21] proposes cloud-cover avoidance methods to improve system efficiency, while maintaining effective revisit time performance. Liao and Yang [22] consider current and future weather conditions to provide qualified pictures satisfying customer requirements, and establish a stochastic integer programming model.…”

Section: Introductionmentioning

confidence: 99%

Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage

Wang

Song

Leus

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

View full text Add to dashboard Cite

Earth observation satellites (EOSs) are specially equipped with remote sensing instruments to acquire images. In practical EOS scheduling, the uncertainty of cloud coverage is inevitable. We are the first to address robust EOS scheduling under uncertainty due to cloud coverage where the objective function aims to maximize the entire observation profit. We provide a robust formulation of the scheduling problem on the basis of a budgeted uncertainty set, while preserving the formulation linearity. A columngeneration-based heuristic is also developed, in which the scheduling decisions in each satellite orbit are represented as columns. Eventually, a high-quality feasible solution is obtained using the generated columns. Extensive simulations are conducted on the basis of one of China's EOS constellations. The results indicate that the average optimality gap is less than 5%, which validates the performance of the proposed heuristic.

show abstract

Onboard real-time cloud detection using reconfigurable FPGAs for remote sensing

Shan¹,

Zheng²,

Wang³

2009

2009 17th International Conference on Geoinformatics

View full text Add to dashboard Cite

On the effectiveness of cloud cover avoidance methods in support of the Super-spectral Mission for Land Applications

Cited by 4 publications

References 2 publications

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

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

Robust Earth Observation Satellite Scheduling With Uncertainty of Cloud Coverage

Onboard real-time cloud detection using reconfigurable FPGAs for remote sensing

Contact Info

Product

Resources

About