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Finally, combining the remote sensing image data fusion method and the fuzzy region reconstruction method, it reconstructs the pixels of the dynamically changed ground buildings. The simulation results show that the remote sensing image data fusion accuracy of ground buildings is good, and the remote sensing feature extraction accuracy of ground buildings is high. The dynamic real-time monitoring of remote sensing image of ground buildings is realized.<\/jats:p>","DOI":"10.3233\/jifs-223434","type":"journal-article","created":{"date-parts":[[2023,2,3]],"date-time":"2023-02-03T11:14:58Z","timestamp":1675422898000},"page":"7243-7255","source":"Crossref","is-referenced-by-count":3,"title":["Remote-sensing image data fusion processing technology based on multi-level fuzzy judgment"],"prefix":"10.1177","volume":"44","author":[{"given":"Runya","family":"Li","sequence":"first","affiliation":[{"name":"Research Institute of Finance Hebei Finance University, Baoding, China"},{"name":"Science and Technology Finance Key Laboratory of Hebei Province, Hebei Finance University, Baoding, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Pang","sequence":"additional","affiliation":[{"name":"Information Management and Engineering Department, Hebei Finance University, Baoding, 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