An Unsupervised Change Detection Method Using Time-Series of PolSAR Images from Radarsat-2 and GaoFen-3

The traditional unsupervised change detection methods based on the pixel level can only detect the changes between two different times with same sensor, and the results are easily affected by speckle noise. In this paper, a novel method is proposed to detect change based on time-series data from dif...

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Detalles Bibliográficos
Autores principales: Liu, Wensong, Yang, Jie, Zhao, Jinqi, Shi, Hongtao, Yang, Le
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856165/
https://www.ncbi.nlm.nih.gov/pubmed/29439507
http://dx.doi.org/10.3390/s18020559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856165/
https://www.ncbi.nlm.nih.gov/pubmed/29439507
http://dx.doi.org/10.3390/s18020559

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