中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An automatic sparse pruning endmember extraction algorithm with a combined minimum volume and deviation constraint

文献类型:期刊论文

作者Huali Li; Jun Liu; Haicong Yu
刊名Remote Sensing
出版日期2018
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/13974]  
专题深圳先进技术研究院_数字所
推荐引用方式
GB/T 7714
Huali Li,Jun Liu,Haicong Yu. An automatic sparse pruning endmember extraction algorithm with a combined minimum volume and deviation constraint[J]. Remote Sensing,2018.
APA Huali Li,Jun Liu,&Haicong Yu.(2018).An automatic sparse pruning endmember extraction algorithm with a combined minimum volume and deviation constraint.Remote Sensing.
MLA Huali Li,et al."An automatic sparse pruning endmember extraction algorithm with a combined minimum volume and deviation constraint".Remote Sensing (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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