Journal of Applied Sciences ›› 2017, Vol. 35 ›› Issue (5): 658-666.doi: 10.3969/j.issn.0255-8297.2017.05.011

• Signal and Information Processing • Previous Articles     Next Articles

Synthesis of Requirements in Applications of Multi-spectral Remote Sensing

WU Zhao-cong, LIU Pei, WU Yuan   

  1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • Received:2016-08-19 Revised:2016-11-30 Online:2017-09-30 Published:2017-09-30

Abstract:

Great differences in requirement descriptions exist in remote sensing applications, and various requirements may be correlated. This causes inconvenience for the subsequent sensor design, We propose a method to solve the problem for multi-spectral remote sensing application requirements. We frst express the original requirements of the associated departments in a structural manner based on the domain ontology modeling, and establish a database to ensure data sharing. We then establish a spatial resolution- temporal resolution decision tree to classify and eliminate correlation, and evaluate the results. We show that good synthesized requirements can be obtained, and used for subsequent sensor design for earth-oriented observation remote sensing, and it can be evaluated directly.

Key words: multi-spectral application requirement, decision tree classifcation, remote sensing earth-oriented observation, domain ontology modeling

CLC Number: