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This letter introduces an alternative strategy for wet snow detection using multitemporal synthetic aperture radar (SAR) data. The proposed change detection method is primarily based on the comparison between two X-band SAR images acquired during the accumulation (winter) and melting (spring) seasons, in the French Alps. The new decision criterion relies on the local intensity statistics of the SAR...
Unmixing in the reflective domain is a well known technique to retrieve materials and their abundances from hyperspectral imaging scene. However, for the thermal domain (8–14 μm) only few unmixing models were developed due to the complexity of retrieving three unknowns (i.e. materials abundance, temperature and emissivity) from the pixel radiance. Attempt to solve this complexity is using aggregation...
The new generation of airborne hyperspectral image sensors sensitive in the thermal infrared domain gives the opportunity for new urban applications like classification, thermal budget at building level, etc. Nevertheless, due to the high spatial variability of such landscape, the signal acquired by each pixel remains complex as it results of the contribution of several radiative signals coming from...
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