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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)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. Topics in Appl. Earth Observ. and Remote Sensing, 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)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)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)Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image., , , and . IGARSS, page 1142-1145. IEEE, (2016)Support Vector Data Description Model to Map Specific Land Cover with Optimal Parameters Determined from a Window-Based Validation Set., , , , and . Sensors, 17 (5): 960 (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)