Based on the sentinel-1 hyperspectral wide-band SAR data, using the proposed u-net ice fissure detection method, the ice fissure elevation data of the north and south polar ice sheet are formed. Firstly, the data preprocessing of sentinel-1 hyperspectral wide-band SAR includes radiometric calibration, ice cover range determination and speckle noise removal. In order to suppress the speckle noise of SAR data, and to ensure the ice fracture characteristics, we use ppb method to remove multiplicative noise. This method can not only effectively remove spots, but also retain the characteristics of ice cracks. Secondly, we use the u-net based ice crack detection algorithm to extract ice cracks. In order to obtain the correct ice fracture SAR data samples, we select the SAR samples by comparing the high-resolution optical data of ice fracture to form the ice fracture SAR data samples. Based on the SAR data of ice fracture area and non ice fracture area, we use u-net method to extract ice fracture. Finally, we geocode the detected ice fracture data to form the ice fracture products of the north and south polar.

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Liang, L. (2019). Ice crack dataset of Antarctican and Greenland V1.0 (2015-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Glacio.tpdc.270984. CSTR: 18406.11.Glacio.tpdc.270984. (Download the reference： RIS | Bibtex )

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CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

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