RESEARCH ON THE CONSTRUCTION OF REMOTE SENSING AUTOMATIC INTERPRETATION SYMBOL BIG DATA
Remote sensing automatic interpretation symbol(RSAIS)is an inexpensive and fast method in providing precise in-situ information for image interpretation and accuracy.This study designed a scientific and precise RSAIS data characterization method,as well as a distributed and cloud architecture massive data storage method.Additionally,it introduced an offline and online data update mode and a dynamic data evaluation mechanism,with the aim to create an efficient approach for RSAIS big data construction.Finally,a national RSAIS database with more than 3 million samples covering 86 land types was constructed during 2013-2015 based on the National Geographic Conditions Monitoring Project of China and then annually updated since the 2016 period.The RSAIS big data has proven to be a good method for large scale image interpretation and field validation.It is also notable that it has the potential to solve image automatic interpretation with the assistance of deep learning technology in the remote sensing big data era.
Remote Sensing Automatic Interpretation Symbol Big Data Geographical Conditions Monitoring Crowdsourcing Update Mode Open Evaluation National Wide Application Database Construction
Gao Yin Liu Ruomei Liu Jianjun Cheng Tao
National Geomatics Center of China,28 Lianhuachi Wet Road,Haidian District,Beijing,China,100830
国际会议
北京
英文
381-384
2018-05-07（万方平台首次上网日期，不代表论文的发表时间）