An Unsupervised Method of Change Detection in Multi-Temporal PolSAR Data Using a Test Statistic and an Improved K&I Algorithm

An Unsupervised Method of Change Detection in Multi-Temporal PolSAR Data Using a Test Statistic and an Improved K&I Algorithm

In recent years, multi-temporal imagery from spaceborne sensors has provided a fast and practical means for surveying and assessing changes in terrain surfaces. Owing to the all-weather imaging capability, polarimetric synthetic aperture radar (PolSAR) has become a key tool for change detection. Cha...

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Bibliographic Details
Main Authors: Jinqi Zhao, Jie Yang, Zhong Lu, Pingxiang Li, Wensong Liu, Le Yang
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Applied Sciences
Subjects:
change detection
test statistic
improved Kittler and Illingworth (K&amp
I)
generalized Gaussian model (GGM)
PolSAR
multi-temporal
Online Access:https://www.mdpi.com/2076-3417/7/12/1297

Internet

https://www.mdpi.com/2076-3417/7/12/1297

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