A sub-pixel resolution enhancement model for multiple-resolution multispectral images

Abstract : 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.
Type de document :
Communication dans un congrès
European Geophysical Union General Assembly 2016, Apr 2016, Vienne, Austria. 2016, 〈http://meetingorganizer.copernicus.org/EGU2016/orals/20192〉
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https://hal.inria.fr/hal-01287184
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Soumis le : jeudi 25 août 2016 - 17:01:25
Dernière modification le : mardi 13 décembre 2016 - 15:40:52
Document(s) archivé(s) le : samedi 26 novembre 2016 - 14:28:21

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  • HAL Id : hal-01287184, version 1

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Nicolas Brodu, Dharmendra Singh, Akanksha Garg. A sub-pixel resolution enhancement model for multiple-resolution multispectral images. European Geophysical Union General Assembly 2016, Apr 2016, Vienne, Austria. 2016, 〈http://meetingorganizer.copernicus.org/EGU2016/orals/20192〉. 〈hal-01287184〉

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