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Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image.

, , , and . IGARSS, page 1142-1145. IEEE, (2016)

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SVDD-based one-class land-cover mapping using optimal training samples., , , , , , and . IGARSS, page 3570-3573. IEEE, (2014)Autumn Crop Mapping based on Deep Learning Method driven by Historical Labelled Dataset., , , , , and . IGARSS, page 4669-4672. IEEE, (2020)SVDD-based land-cover mapping using optimal parameters via single window flexible pace search method., , , , and . IGARSS, page 4277-4280. IEEE, (2013)Multi-temporal RADARSAT-2 polarimetric SAR for maize mapping supported by segmentations from high-resolution optical image., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)Highly efficient paddy classification using UAV-based orthorectified image., , , and . IGARSS, page 3230-3233. IEEE, (2017)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)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)Time-Scale Transferring Deep Convolutional Neural Network for Mapping Early Rice., , , , and . IGARSS, page 1136-1139. IEEE, (2018)Crop distribution mapping using hard and soft change detection method with multi-temporal remote sensing images., , , , , and . IGARSS, page 3293-3296. IEEE, (2013)