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Accuracy assessment of thematic classification based on point and polygon sampling units.

, , , , and . IGARSS, page 3837-3840. IEEE, (2005)

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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)A Truthful FPTAS Auction for the Edge-Cloud Pricing Problem., , and . BigCom, page 140-144. IEEE, (2020)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)Transferable deep learning model based on the phenological matching principle for mapping crop extent., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions., , , , , , and . Sensors, 16 (2): 207 (2016)An Efficient Approach Based on UAV Orthographic Imagery to Map Paddy With Support of Field-Level Canopy Height From Point Cloud Data., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (6): 2034-2046 (2018)Mapping Irrigated Areas in China From Remote Sensing and Statistical Data., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (11): 4490-4504 (2014)Edge Pricing Mechanisms under Cloud Tiered Pricing., , and . BigCom, page 54-62. IEEE, (2022)Develop Large-Area Autumn Crop Type Product Using a Deep Learning Strategy., , , and . IGARSS, page 4673-4676. IEEE, (2020)