Xiaodong Li
Spatio-temporal sub-pixel land cover mapping of remote sensing imagery using spatial distribution information from same-class pixels
Li, Xiaodong; Chen, Rui; Foody, Giles M.; Wang, Lihui; Yang, Xiaohong; Du, Yun; Ling, Feng
Authors
Rui Chen
GILES FOODY giles.foody@nottingham.ac.uk
Professor of Geographical Information
Lihui Wang
Xiaohong Yang
Yun Du
Feng Ling
Abstract
© 2020 by the authors. The generation of land cover maps with both fine spatial and temporal resolution would aid the monitoring of change on the Earth's surface. Spatio-temporal sub-pixel land cover mapping (STSPM) uses a few fine spatial resolution (FR) maps and a time series of coarse spatial resolution (CR) remote sensing images as input to generate FR land cover maps with a temporal frequency of the CR data set. Traditional STSPM selects spatially adjacent FR pixels within a local window as neighborhoods to model the land cover spatial dependence, which can be a source of error and uncertainty in the maps generated by the analysis. This paper proposes a new STSPM using FR remote sensing images that pre-and/or post-date the CR image as ancillary data to enhance the quality of the FR map outputs. Spectrally similar pixels within the locality of a target FR pixel in the ancillary data are likely to represent the same land cover class and hence such same-class pixels can provide spatial information to aid the analysis. Experimental results showed that the proposed STSPM predicted land cover maps more accurately than two comparative state-of-the-art STSPM algorithms.
Citation
Li, X., Chen, R., Foody, G. M., Wang, L., Yang, X., Du, Y., & Ling, F. (2020). Spatio-temporal sub-pixel land cover mapping of remote sensing imagery using spatial distribution information from same-class pixels. Remote Sensing, 12(3), Article 503. https://doi.org/10.3390/rs12030503
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 1, 2020 |
Online Publication Date | Feb 4, 2020 |
Publication Date | Feb 1, 2020 |
Deposit Date | Mar 4, 2020 |
Publicly Available Date | Mar 4, 2020 |
Journal | Remote Sensing |
Electronic ISSN | 2072-4292 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 3 |
Article Number | 503 |
DOI | https://doi.org/10.3390/rs12030503 |
Keywords | General Earth and Planetary Sciences |
Public URL | https://nottingham-repository.worktribe.com/output/4089998 |
Publisher URL | https://www.mdpi.com/2072-4292/12/3/503 |
Files
Spatio-Temporal Sub-Pixel Land Cover Mapping of Remote Sensing Imagery Using Spatial Distribution Information From Same-Class Pixels
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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