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Predicting wheat aphid using 2-dimensional feature space based on multi-temporal Landsat TM.

, , , , and . IGARSS, page 1830-1833. IEEE, (2011)

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Recognizing wheat plant-type using NDVI and cover degree., , , , , , , and . IGARSS, page 1879-1881. IEEE, (2005)Relative Total Variation Structure Analysis-Based Fusion Method for Hyperspectral and LiDAR Data Classification., , , , , , and . Remote. Sens., 13 (6): 1143 (2021)Assessment of Leaf Chlorophyll Content Models for Winter Wheat Using Landsat-8 Multispectral Remote Sensing Data., , , , , , , and . Remote. Sens., 12 (16): 2574 (2020)Identification of Fusarium Head Blight in Winter Wheat Ears Using Continuous Wavelet Analysis., , , , , , , , , and . Sensors, 20 (1): 20 (2020)Winter Wheat Seedtime Monitoring through Satellite Remote Sensing Data., , , and . CCTA (3), volume 370 of IFIP Advances in Information and Communication Technology, page 362-371. Springer, (2011)Extraction of crop closures and structural types from canopy reflected spectrum in wheat and maize., , , , , and . IGARSS, page 3040-3043. IEEE, (2005)Predicting wheat aphid using 2-dimensional feature space based on multi-temporal Landsat TM., , , , and . IGARSS, page 1830-1833. IEEE, (2011)A New Method for Modifying Thresholds in the Classification of Tree Models for Mapping Aquatic Vegetation in Taihu Lake with Satellite Images., , , , , , and . Remote. Sens., 6 (8): 7442-7462 (2014)A dual-branch neural network for crop disease recognition by integrating frequency domain and spatial domain information., , , , , and . Comput. Electron. Agric., (2024)A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Hyperspectral Imagery Classification., , , , , , and . CoRR, (2020)