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DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery.

, , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)

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Efficient Support for Time Series Queries in Data Stream Management Systems., , , and . Stream Data Management, volume 30 of Advances in Database Systems, Springer, (2005)A novel softplus linear unit for deep convolutional neural networks., , , and . Appl. Intell., 48 (7): 1707-1720 (2018)Cropland Product Fusion Method Based on the Overall Consistency Difference: A Case Study of China., , , , , and . Remote Sensing, 11 (9): 1065 (2019)Optimal Temporal Window Selection for Winter Wheat and Rapeseed Mapping with Sentinel-2 Images: A Case Study of Zhongxiang in China., , , , , and . Remote Sensing, 12 (2): 226 (2020)Domain decomposition modified with characteristic mixed finite element of compressible oil-water seepage displacement and its numerical analysis., , , and . Parallel Comput., (2018)Deep learning-based crop mapping in the cloudy season using one-shot hyperspectral satellite imagery., , , , and . Comput. Electron. Agric., (2021)ATLAS: A Small but Complete SQL Extension for Data Mining and Data Streams., , and . VLDB, page 1113-1116. Morgan Kaufmann, (2003)WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification., , , and . CoRR, (2020)Deep One-Class Crop Extraction Framework for Multi-Modal Remote Sensing Imagery., , , , , and . IGARSS, page 5961-5964. IEEE, (2021)Fine Classification of Typical Farms in Southern China Based on Airborne Hyperspectral Remote Sensing Images., , , and . Agro-Geoinformatics, page 1-4. IEEE, (2018)