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Geographic : heilongjiang sheng (china)

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Academic Journal

Genetic Programming for High-Level Feature Learning in Crop Classification.

Authors : Lu, Miao^1,2 (AUTHOR); Bi, Ying^2,3 (AUTHOR); Xue, Bing² (AUTHOR)

Source: Remote Sensing. Aug2022, Vol. 14 Issue 16, p3982-3982. 18p.

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Academic Journal

Hyperspectral Image Classification on Large-Scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results.

Authors : Zhang, Hongzhe^1,2 (AUTHOR) ; Feng, Shou^1,2 (AUTHOR) ; Wu, Di³ (AUTHOR)

Source: Remote Sensing. Feb2024, Vol. 16 Issue 3, p478. 22p.

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Academic Journal

Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia.

Authors : Liu, Meng^1,2 (AUTHOR) ; Wang, Juanle^2,3,4 (AUTHOR) ; Fetisov, Denis⁵ (AUTHOR)

Source: Remote Sensing. May2024, Vol. 16 Issue 10, p1670. 15p.

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Academic Journal

Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping.

Authors : Feng, Luwei^1,2 (AUTHOR) ; Gui, Dawei^3,4 (AUTHOR) ; Han, Shanshan^3,4 (AUTHOR)

Source: Remote Sensing. Apr2024, Vol. 16 Issue 8, p1464. 19p.

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Academic Journal

Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images.

Authors : Hütt, Christoph¹ ; Koppe, Wolfgang² ; Miao, Yuxin³

Source: Remote Sensing. Aug2016, Vol. 8 Issue 8, p684. 15p.

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Academic Journal

Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning.

Authors : Wu, Yongchuang¹ (AUTHOR); Wu, Penghai^1,2,3 (AUTHOR); Wu, Yanlan^2,3,4,5 (AUTHOR)

Source: Remote Sensing. Feb2023, Vol. 15 Issue 3, p674. 22p.

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Academic Journal

时序滤波对农作物遥感识别的影响.

Authors : 张馨予¹ ; 蔡志文¹; 杨靖雅¹

Source: Transactions of the Chinese Society of Agricultural Engineering. 2022, Vol. 38 Issue 4, p215-224. 10p.

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Academic Journal

Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids.

Authors : Yang, Ning¹ (AUTHOR) ; Liu, Diyou¹ (AUTHOR) ; Feng, Quanlong¹ (AUTHOR)

Source: Remote Sensing. Jun2019, Vol. 11 Issue 12, p1500-1500. 1p.

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فلترة النتائج

Genetic Programming for High-Level Feature Learning in Crop Classification.

Hyperspectral Image Classification on Large-Scale Agricultural Crops: The Heilongjiang Benchmark Dataset, Validation Procedure, and Baseline Results.

Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia.

Integrating Optical and SAR Time Series Images for Unsupervised Domain Adaptive Crop Mapping.

Best Accuracy Land Use/Land Cover (LULC) Classification to Derive Crop Types Using Multitemporal, Multisensor, and Multi-Polarization SAR Satellite Images.

Remote Sensing Crop Recognition by Coupling Phenological Features and Off-Center Bayesian Deep Learning.

时序滤波对农作物遥感识别的影响.

Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids.

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