Optimization of multi-temporal Land Use Classification by Integration of Phenological time frames
نویسندگان
چکیده
This study presents the key results of the joint research project PhenoS. The project aimed on the development of algorithms and methods for the selection of optimal time frames for land use classifications based on Sentinel-2 multispectral satellite data. The classification accuracies of an object-based classification framework was improved using optimized spectral indices which were determined by an automatic permutation procedure. Keywords—phenology, classification, modelling, time frames multi-temporal, Sentinel-2
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تاریخ انتشار 2017