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Research on Workflow Model and Verification Method of Remote Sensing Data Processing

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Computer Science and Education (ICCSE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1811))

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Abstract

To reduce the uncertainty factors in the remote sensing data processing process and the complexity of remote sensing data processing software, a remote sensing data processing workflow model is presented based on Petri net and UniNet theory. The model can not only describe the data, tasks and their logical relationships involved in remote sensing data processing workflow formally, but also analyze the logic of the process dynamically. Furthermore, the model can be effectively combined with workflow technology, which provide great help for solving remote sensing application needs.

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References

  1. Sidorova, V.S.: Hierarchical cluster algorithm for remote sensing data of earth. Pattern Recogn. Image Anal. 22(2), 373–379 (2012). https://doi.org/10.1134/S1054661812020149

    Article  Google Scholar 

  2. Zhou, B., Guan-feng, W., Yong, X., Li, J., Liu, Y.: A visual dataflow model for the process flow of remote sensing products. In: Huang, D.-S., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds.) ICIC 2013. LNCS, vol. 7995, pp. 482–489. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39479-9_57

    Chapter  Google Scholar 

  3. Yuan, J., et al.: A new classification algorithm for high spatial resolution remote sensing data. Int. Soc. Optics Photonics 7285, 72850H (2008)

    Google Scholar 

  4. Sun, X., et al.: Workflow application in operation and control of remote sensing data processing. Comput. Eng. (2012)

    Google Scholar 

  5. Wang, Q., Li, X.: Research of visual customized production platform of remote sensing products based on workflow. Comput. Era (2) (2015)

    Google Scholar 

  6. Peter, R.: Petri net theory and the modeling of systems. Comput. J. (1), p. 1

    Google Scholar 

  7. Yuan, C.: Principle and Application of Petri Net. Publishing House of Electronics Industry (2005)

    Google Scholar 

  8. Zhou, G., Yuan, C.: Mapping PUNITY to UniNet. J. Comput. Sci. Technol. 18(3), 378–387 (2003)

    Article  MATH  Google Scholar 

  9. Gao, Y., Liu, Y., Wu, L.: Geo-workflow model based on petri nets. Comput. Eng. 31(16), 3 (2005)

    Google Scholar 

  10. Bastide, R., et al.: Meeting on XML/SGML based interchange formats for petri nets. Unify. Petri Nets Lncs Adv. Petri Nets 13(27), 47–52 (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China

    Baojun Qiao, Siyuan He, Ying Du & Xianyu Zuo

  2. School of Computer and Information Engineering, Henan University, Kaifeng, China

    Baojun Qiao, Siyuan He, Ying Du & Xianyu Zuo

Authors
  1. Baojun Qiao
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  2. Siyuan He
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  3. Ying Du
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  4. Xianyu Zuo
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Corresponding author

Correspondence to Ying Du .

Editor information

Editors and Affiliations

  1. Xiamen University, Xiamen, China

    Wenxing Hong

  2. Sichuan University, Chengdu, China

    Yang Weng

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Qiao, B., He, S., Du, Y., Zuo, X. (2023). Research on Workflow Model and Verification Method of Remote Sensing Data Processing. In: Hong, W., Weng, Y. (eds) Computer Science and Education. ICCSE 2022. Communications in Computer and Information Science, vol 1811. Springer, Singapore. https://doi.org/10.1007/978-981-99-2443-1_54

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  • DOI: https://doi.org/10.1007/978-981-99-2443-1_54

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-2442-4

  • Online ISBN: 978-981-99-2443-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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