Special section guest editorial: Change detection using multi-source remotely sensed imagery

Xin Huang; Jiayi Li; Francesca Bovolo; Qi Wang

doi:10.3390/rs11192216

Special section guest editorial: Change detection using multi-source remotely sensed imagery

Xin Huang
, Jiayi Li
, Francesca Bovolo
, Qi Wang

School of Artificial Intelligence, OPtics and Electronics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.

Original language	English
Article number	2216
Journal	Remote Sensing
Volume	11
Issue number	19
DOIs	https://doi.org/10.3390/rs11192216
State	Published - 1 Oct 2019

Keywords

Change detection
Deep learning
Image segmentation
Multi-scale
Multi-source remote sensing

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10.3390/rs11192216

Cite this

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title = "Special section guest editorial: Change detection using multi-source remotely sensed imagery",

abstract = "This special issue hosts papers on change detection technologies and analysis in remote sensing, including multi-source sensors, advanced machine learning technologies for change information mining, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multi-source remote sensed data was used in change detection.",

keywords = "Change detection, Deep learning, Image segmentation, Multi-scale, Multi-source remote sensing",

author = "Xin Huang and Jiayi Li and Francesca Bovolo and Qi Wang",

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year = "2019",

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Special section guest editorial: Change detection using multi-source remotely sensed imagery

Abstract

Keywords

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