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Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco

机译：与高分辨率卫星图像和深度学习算法的大规模绘制树木作物：摩洛哥橄榄果园的案例研究

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Chenxi Lin; Zhenong Jin; David Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar; Yaping Cai;
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1. Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area [J] . Aicha Moumni, Abderrahman Lahrouni Scientifica . 2021,第a期

机译：基于机器学习的分类，用于使用半干旱区域的高分辨率卫星图像融合的裁剪映射
2. Potential of High-Resolution Satellite Imagery for Mapping Distribution and Evaluating Ecological Characteristics of Tree Species at the Angkor Monument, Cambodia [J] . Mizuki Tomita, Yoshihiko Hirabuki, Yuji Araki, Journal of Landscape Ecology . 2014,第3期

机译：高分辨率卫星影像在柬埔寨吴哥纪念碑上的分布图及评估树种生态特征的潜力
3. Mapping wild pear trees (Pyrus bourgaeana) in Mediterranean forest using high-resolution QuickBird satellite imagery [J] . S. Arenas-Castro, Y. Julien, J.C. Jimenez-Munoz, International journal of remote sensing . 2013,第9a10期

机译：使用高分辨率QuickBird卫星图像绘制地中海森林中的野生洋梨树（Pyrus bourgaeana）
4. A Preliminary Study on Crop Classification with Unsupervised Algorithms for Time Series on Images with Olive Trees and Cereal Crops [C] . Antonio Jesús Rivera, María Dolores Pérez-Godoy, David Elizondo, International Conference on Soft Computing Models in Industrial and Environmental Applications . 2021

机译：用橄榄树和谷物作物对时间序列作物分类作物分类初步研究
5. Spectrally-Based Tree Species Identification and Mapping Using High-Resolution Satellite Imagery [D] . Cross, Matthew David 2018

机译：基于光谱的树种识别和高分辨卫星图像制图
6. Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area [O] . Aicha Moumni, Abderrahman Lahrouni 2021

机译：基于机器学习的分类用于使用半干旱区域的高分辨率卫星图像融合的裁剪映射
7. Understanding the Effects of Optimal Combination of Spectral Bands on Deep Learning Model Predictions: A Case Study Based on Permafrost Tundra Landform Mapping Using High Resolution Multispectral Satellite Imagery [O] . Md Abul Ehsan Bhuiyan, Chandi Witharana, Anna K. Liljedahl, 2020

机译：了解光谱频段最佳组合对深度学习模型预测的影响 - 以高分辨率多光谱卫星图像基于永久冻土Tundra地形映射的案例研究

Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco

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