A General Framework for Change Detection Using Multimodal Remote Sensing Data

A General Framework for Change Detection Using Multimodal Remote Sensing Data

A general framework for change detection is proposed to analyze multimodal remotely sensed data utilizing the Kronecker product between two data representations (vectors or matrices). The proposed method is sensor independent and provides comparable results to techniques that exist for specific sens...

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Bibliographic Details
Main Authors: Sanid Chirakkal, Francesca Bovolo, Arundhati Ray Misra, Lorenzo Bruzzone, Avik Bhattacharya
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection (CD)
dual-frequency PolSAR
Kronecker product of matrices
multimodal data
synthetic aperture radar (SAR) optical fusion
Online Access:https://ieeexplore.ieee.org/document/9568726/

Internet

https://ieeexplore.ieee.org/document/9568726/

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