SAR Image Change Detection Based on Nonlocal Low-Rank Model and Two-Level Clustering

SAR Image Change Detection Based on Nonlocal Low-Rank Model and Two-Level Clustering

Change detection (CD) has found a wide range of applications in many fields. In this article, we propose a novel nonlocal low-rank (NLR) based method for multitemporal synthetic aperture radar image CD. This method jointly exploits the powerful NLR-based despeckling and the effective cascade cluster...

Full description

Bibliographic Details
Main Authors: Yuli Sun, Lin Lei, Dongdong Guan, Xiao Li, Gangyao Kuang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Low-rank modeling
speckle reduction
synthetic aperture radar (SAR) images
two-level clustering
unsupervised change detection (CD)
Online Access:https://ieeexplore.ieee.org/document/8949765/

Internet

https://ieeexplore.ieee.org/document/8949765/

Similar Items