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Conference Papers Year : 2016

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

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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.
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Dates and versions

hal-01287184 , version 1 (25-08-2016)

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  • HAL Id : hal-01287184 , version 1

Cite

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. ⟨hal-01287184⟩

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