Research Dynamics of the Classification Methods of Remote Sensing Images

dc.creatorZhang, Yan
dc.creatorWu, Baoguo
dc.creatorWang, Dong
dc.date2017-04-01T19:27:52Z
dc.date.accessioned2026-07-09T07:01:37Z
dc.descriptionAs the key technology of extracting remote sensing information, the classification of remote sensing images has always been the research focus in the field of remote sensing. The paper introduces the classification process and system of remote sensing images. According to the recent research status of domestic and international remote sensing classification methods, the new study dynamics of remote sensing classification, such as artificial neural networks, support vector machine, active learning and ensemble multi-classification, were introduced, providing references for the automatic and intelligent development of remote sensing images classification.
dc.identifierdoi:10.22004/ag.econ.147816
dc.identifierhttps://ageconsearch.umn.edu/record/147816/files/29.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/147816
dc.identifier.urihttp://hdl.handle.net/123456789/583641
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/147816
dc.titleResearch Dynamics of the Classification Methods of Remote Sensing Images
dc.typeText

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