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| Titel |
A sub-pixel resolution enhancement model for multiple-resolution multispectral images |
| VerfasserIn |
Nicolas Brodu, Dharmendra Singh, Akanksha Garg |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250133746
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| Publikation (Nr.) |
 EGU/EGU2016-14389.pdf |
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| Zusammenfassung |
| We present a new resolution enhancement model, with application to MODIS and Sentinel-2 data. For applications like land cover monitoring, the availability of multispectral bands at multiple resolutions limits the classification accuracy at full resolution. We introduce a new model to separate pixel content from color information at high-resolution bands. This sub-pixellic model is then applied to unmix low-resolution bands. This technique drastically improves the overall land cover classification accuracy, especially in the MODIS cases, and it is particularly effective on Sentinel-2 data. |
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