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Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

机译：卷积神经网络能够高分辨率UAV图像实现植物物种和社区的高效，准确和细粒度的细分

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Teja Kattenborn; Jana Eichel; Fabian Ewald Fassnacht;
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1. Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery [J] . Teja Kattenborn, Jana Eichel, Fabian Ewald Fassnacht Scientific reports. . 2019,第1期

机译：卷积神经网络能够高分辨率UAV图像实现植物物种和社区的高效，准确和细粒度的细分
2. Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks [J] . Schiefer Felix, Kattenborn Teja, Frick Annett, ISPRS Journal of Photogrammetry and Remote Sensing . 2020,第Deca期

机译：通过卷积神经网络在高分辨率UAV的RGB图像中映射林树种类
3. Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data [J] . Ying Sun, Xinchang Zhang, Qinchuan Xin, ISPRS Journal of Photogrammetry and Remote Sensing . 2018,第SEPa期

机译：使用高分辨率的航空影像和LiDAR数据开发用于语义分割的多过滤器卷积神经网络
4. AUTOMATIC IDENTIFICATION OF PLANT SPECIES THROUGH A CONVOLUTIONAL NEURAL NETWORK MODEL FOR UAV MOUNTED DIGITAL CAMERAS [C] . Soumva K Das, Prakash P S, Bharath H Aithal Asian conference on remote sensing;ACRS . 2018

机译：通过卷积神经网络模型的卷积神经网络模型自动识别植物
5. Plant Segmentation by Supervised Machine Learning Methods and Phenotypic Trait Extraction of Soybean Plants Using Deep Convolutional Neural Networks with Transfer Learning [D] . Adams, Jason R. 2020

机译：植物分割通过深度卷积神经网络与转移学习的豆豆植物的植物分割和表型特性
6. Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery [O] . Huasheng Huang, Jizhong Deng, Yubin Lan, 2018

机译：基于全卷积网络的无人机图像精确杂草制图和处方图生成
7. Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery [O] . Teja Kattenborn, Jana Eichel, Susan Wiser, 2020

机译：卷积神经网络精确地预测无人机图像中植物物种和社区的覆盖分数

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

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