Satellite remote sensing has revolutionized modern oceanography, providing frequent synoptic-scale information that can be used to deduce ocean processes. However, it is often difficult to extract interpretable patterns from satellite images, as data sets are large and often non-linear. In this methodological paper, we describe the self-organizing map (SOM), a type of artificial neural network ...

The Stanford Satellite Systems Development Laboratory (SSDL) is currently investigating advanced satellite control technologies aimed at improved spacecraft system operations. One technique involves a unique real-time payload control strategy for satellites operating within a crosslinked constellation. This strategy effectively merges payload scheduling, traditionally considered a high level pl...

Paper presents a Neural Network Modelling approach to microwave LNA design. To acknowledge the specifications of the amplifier, Mobile Satellite Systems are analyzed. Scattering parameters of the LNA in the frequency range 0.5 to 18 GHz are calculated using a Multilayer Perceptron Artificial Neural Network model and corresponding smith charts and polar charts are plotted as output to the model....

Neural networks are massively parallel arrays of simple processing units that can be used for computationally complicated tasks such as image processing. This paper develops an efficient method for processing remote-sensing satellite data using complex valued artificial neurons as an approach to the problems associated with computer vision— region identification and classification—as they are a...

This article presents a novel artificial neural network technique for merging multi-sensor satellite data. Stacked neural networks (NNs) are used to learn the temporal and spatial drifts between data from different satellite sensors. The resulting NNs are then used to sequentially adjust the satellite data for the creation of a global homogeneous long-term climate data record. The proposed tech...

Lund DK, Mouly V, Cornelison DD. MMP-14 is necessary but not sufficient for invasion of three-dimensional collagen by human muscle satellite cells. Am J Physiol Cell Physiol 307: C140–C149, 2014. First published June 4, 2014; doi:10.1152/ajpcell.00032.2014.—The twenty-five known matrix metalloproteases (MMPs) and their endogenous inhibitors, tissue inhibitors of metalloproteases (TIMPs), mediat...

Neural networks are non-linear functional approximators, and natural candidates to be used in nonlinear systems control. Satellite nominal attitude control dynamics is an example of non-linear system where conventional control has been applied sucessfully since the early space age. However, conventional control like the PD (proportional and derivative of the error) can only guarantee robustness...

With the growing number of high-resolution satellite images, the traditional image retrieval method has become a bottleneck in the massive application of high-resolution satellite images because of the low degree of automation. However, there are few studies on the automation of satellite image retrieval. This paper presents an automatic high-resolution satellite image accurate retrieval method...

In France, in the peri-urban context, urban sprawl dynamics are particularly strong with huge population growth as well as a land crisis. The increase and spreading of built-up areas from the city centre towards the periphery takes place to the detriment of natural and agricultural spaces. The conversion of land with agricultural potential is all the more worrying as it is usually irreversible....