Optimization-based automated unsupervised classification method: A novel approach

作者：

Highlights：

• We present two new unsupervised methods to classify remotely sensed data.

• These methods perform classification process automatically.

• The proposed methods allow to focus on specific classes in the image.

• The performance of proposed method was compared with in four study areas.

摘要

•We present two new unsupervised methods to classify remotely sensed data.•These methods perform classification process automatically.•The proposed methods allow to focus on specific classes in the image.•The performance of proposed method was compared with in four study areas.

论文关键词：Unsupervised classification,Algorithms,Big data processing,Optimization,Remote sensing

论文评审过程：Received 4 December 2019, Revised 6 July 2020, Accepted 8 July 2020, Available online 15 July 2020, Version of Record 23 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113735