Abstract
In order to conveniently and rapidly develop algorithms for remote sensing products, the basic idea is using some existing algorithms to develop a new algorithm. Due to the algorithm dependency, the algorithms are called one by one, which forms a process flow of remote sensing products. In this paper, a visual dataflow model is presented for the production of remote sensing products, which can represent the process flow of remote sensing products. The proposed model can reflect not only the relationship between algorithms, but also the number of algorithm to be called and the information of the data to be processed. Using this model, the changes of the process flow can be described conveniently and the concurrent execution of the algorithm can be performed.
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Zhou, B., Wu, Gf., Xu, Y., Li, Jg., Liu, Y. (2013). A Visual Dataflow Model for the Process Flow of Remote Sensing Products. In: Huang, DS., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds) Intelligent Computing Theories. ICIC 2013. Lecture Notes in Computer Science, vol 7995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39479-9_57
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DOI: https://doi.org/10.1007/978-3-642-39479-9_57
Publisher Name: Springer, Berlin, Heidelberg
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