激光与光电子学进展, 2020, 57 (24): 241102, 网络出版: 2020-12-01   

基于规则验证点的面向对象分类精度评价 下载: 933次

Accuracy Assessment of Object-Oriented Classification Based on Regular Verification Points
作者单位
1 东华理工大学放射性地质与勘探技术国防重点学科实验室, 江西 南昌 330013
2 东华理工大学测绘工程学院, 江西 南昌 330013
引用该论文

龚循强, 刘星雷, 鲁铁定, 刘丹. 基于规则验证点的面向对象分类精度评价[J]. 激光与光电子学进展, 2020, 57(24): 241102.

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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龚循强, 刘星雷, 鲁铁定, 刘丹. 基于规则验证点的面向对象分类精度评价[J]. 激光与光电子学进展, 2020, 57(24): 241102. 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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