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.
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https://hal.inria.fr/hal-01287184
Contributor : H. Yahia <>
Submitted on : Thursday, August 25, 2016 - 5:01:25 PM
Last modification on : Saturday, July 21, 2018 - 2:54:04 PM
Long-term archiving on : Saturday, November 26, 2016 - 2:28:21 PM

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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. ⟨hal-01287184⟩

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