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SVDD-based land-cover mapping using optimal parameters via single window flexible pace search method.

, , , , and . IGARSS, page 4277-4280. IEEE, (2013)

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Crop distribution mapping using hard and soft change detection method with multi-temporal remote sensing images., , , , , and . IGARSS, page 3293-3296. IEEE, (2013)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)Time-Scale Transferring Deep Convolutional Neural Network for Mapping Early Rice., , , , and . IGARSS, page 1136-1139. IEEE, (2018)A Truthful FPTAS Auction for the Edge-Cloud Pricing Problem., , and . BigCom, page 140-144. IEEE, (2020)Transferable deep learning model based on the phenological matching principle for mapping crop extent., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Develop Large-Area Autumn Crop Type Product Using a Deep Learning Strategy., , , and . IGARSS, page 4673-4676. IEEE, (2020)Edge Pricing Mechanisms under Cloud Tiered Pricing., , and . BigCom, page 54-62. IEEE, (2022)An Integrated Approach to Agricultural Crop Classification Using SPOT5 HRV Images., , and . CCTA, volume 258 of IFIP Advances in Information and Communication Technology, page 677-684. Springer, (2007)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)Accuracy assessment of thematic classification based on point and polygon sampling units., , , , and . IGARSS, page 3837-3840. IEEE, (2005)