Methods and Challenges Using Multispectral and Hyperspectral Images for Practical Change Detection Applications
by
Chiman Kwan
Chiman Kwan
Signal Processing Inc., Rockville, MD 20850, USA
Information 2019, 10(11), 353; https://doi.org/10.3390/info10110353
Received: 3 September 2019 / Revised: 7 November 2019 / Accepted: 13 November 2019 / Published: 15 November 2019
Multispectral (MS) and hyperspectral (HS) images have been successfully and widely used in remote sensing applications such as target detection, change detection, and anomaly detection. In this paper, we aim at reviewing recent change detection papers and raising some challenges and opportunities in the field from a practitioner’s viewpoint using MS and HS images. For example, can we perform change detection using synthetic hyperspectral images? Can we use temporally-fused images to perform change detection? Some of these areas are ongoing and will require more research attention in the coming years. Moreover, in order to understand the context of our paper, some recent and representative algorithms in change detection using MS and HS images are included, and their advantages and disadvantages will be highlighted.
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Kwan, C. Methods and Challenges Using Multispectral and Hyperspectral Images for Practical Change Detection Applications. Information 2019, 10, 353.
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