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GLACIER IDENTIFICATION FROM LANDSAT8 OLI IMAGERY USING DEEP U-NET
2020
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Glacier is one of the clearest signal of climate change, and its changes have important effects on regional climate and water resources. Glacier identification is the basic of glacial changes research. Traditional remote sensing glacier identification methods usually perform simple bands calculation based on the spectral characteristics of glacier. The identification results are greatly affected by threshold segmentation. In addition, there is a misclassification of water body and
doi:10.5194/isprs-annals-v-3-2020-381-2020
fatcat:efbwmkiutrdnrjmq2ao3a2gb6m