Research on topic evolution of photogrammetry and remote sensing:Taking ISPRS Journal of Photogrammetry and Remote Sensing as an example
In order to enable researchers in related fields to understand and make a quantitative analysis of the overall development and other aspects of remote sensing science,this paper takes the official publication of International Society for Photogrammetry and Remote Sensing(ISPRS)as the research data,and it solves the problems of topic mining,topic association,topic evolution modeling,and topic evolution knowledge map in photogrammetry and remote sensing field by using the topic evolution model based on Latent Dirichlet Allocation(LDA)and word2vec on the basis of econometric analyzing from the perspective of topic mining and topic association.It is concluded that:a)The top three topics are laser scanning,photogrammetry,and remote sensing information extraction and classification;b)The research of deep learning in remote sensing increases rapidly in recent years;c)The environmental remote sensing related research is relatively stable,and the research is mostly limited within the related fields.
topic evolutionphotogrammetry and remote sensingscientmetrologyLDAword2vec
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