Accuracy Assessment of Object-Oriented Classification Based on Regular Verification Points

Xunqiang Gong; Xinglei Liu; Tieding Lu; Dan Liu

doi:10.3788/LOP57.241102

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 24 >Page 241102 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 24, 241102 (2020)

Accuracy Assessment of Object-Oriented Classification Based on Regular Verification Points

Xunqiang Gong^1、2、*, Xinglei Liu^1、2, Tieding Lu^1、2, and Dan Liu²

Author Affiliations

¹Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China University of Technology, Nanchang, Jiangxi 330013, China

²Faculty of Geomatics, East China University of Technology, Nanchang, Jiangxi 330013, China

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DOI: 10.3788/LOP57.241102 Cite this Article Set citation alerts

Xunqiang Gong, Xinglei Liu, Tieding Lu, Dan Liu. Accuracy Assessment of Object-Oriented Classification Based on Regular Verification Points[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241102 Copy Citation Text

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Xunqiang Gong, Xinglei Liu, Tieding Lu, Dan Liu. Accuracy Assessment of Object-Oriented Classification Based on Regular Verification Points[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241102

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