Home // eKNOW 2016, The Eighth International Conference on Information, Process, and Knowledge Management // View article

Technology Foresight of Remote Sensing Based on Patent Analysis

Authors:
Haibin Liu
Chao Song

Keywords: Remote sensing; Patent co-citation analysis; Technology life cycle; Logistic model; Technology Foresight.

Abstract:
In this paper, we propose a new method of patent analysis for technology foresight by using patent co-citation clustering, technology life cycle theory, and Logistic model and apply it in the field of remote sensing. Firstly, the co-citation clustering method is used to analyze patents about remote sensing, which can visually show the distribution of patents and select the core patents groups with strong co-citation relationship that represents the technical groups in this field. Through the analysis of the clusters, 8 main technical directions are obtained. Then, we search patents again for the main technical directions, and use the technology life cycle theory and Logistic model to analyze and forecast the future development trend of technology. According to the analysis, the remote sensing technologies are found that have passed through a long period of germination. Among them, "remote sensing image processing technology in later period" is in the growing stage, which is being developed rapidly. The technologies related to "remote sensing imaging equipment" and "remote sensing image initial processing" are becoming mature. Based on these analyses, some suggestions on the future development, application direction and industrial prospects of remote sensing technologies are advocated.

Pages: 19 to 24

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-472-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016