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Autumn crop identification using high-spatial-temporal resolution time series data generated by MODIS and Landsat remote sensing images.

, , , , , and . IGARSS, page 2118-2121. IEEE, (2014)

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Time-Scale Transferring Deep Convolutional Neural Network for Mapping Early Rice., , , , and . IGARSS, page 1136-1139. IEEE, (2018)Mapping Highly Heterogeneous Impervious Surface in the Urban-Rural Fringe using Integrated Hard and Soft Classification from Incorporating Spectral and Texture Features., , , , and . IGARSS, page 6951-6954. IEEE, (2018)Transferable deep learning model based on the phenological matching principle for mapping crop extent., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Edge Pricing Mechanisms under Cloud Tiered Pricing., , and . BigCom, page 54-62. IEEE, (2022)A Truthful FPTAS Auction for the Edge-Cloud Pricing Problem., , and . BigCom, page 140-144. IEEE, (2020)Develop Large-Area Autumn Crop Type Product Using a Deep Learning Strategy., , , and . IGARSS, page 4673-4676. IEEE, (2020)Crop distribution mapping using hard and soft change detection method with multi-temporal remote sensing images., , , , , and . IGARSS, page 3293-3296. IEEE, (2013)Support vector domain description model to map specific land cover with optimal parameters determined from window-based validation set., , , and . IGARSS, page 4774-4777. IEEE, (2017)Fully Convolutional Neural Networks for Large Scale Cropland Mapping with Historical Label Dataset., , , and . IGARSS, page 4659-4662. IEEE, (2018)Cropland Mapping in Fragmented Agricultural Landscape Using Modified Pyramid Scene Parsing Network., , , , , , and . IGARSS, page 9831-9834. IEEE, (2019)