标题
Crop type mapping by using transfer learning
作者
关键词
Crop detection, Transfer learning, Convolutional neural networks, Drone images
出版物
International Journal of Applied Earth Observation and Geoinformation
Volume 98, Issue -, Pages 102313
出版商
Elsevier BV
发表日期
2021-02-19
DOI
10.1016/j.jag.2021.102313
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Monitoring Changes in the Cultivation of Pigeonpea and Groundnut in Malawi Using Time Series Satellite Imagery for Sustainable Food Systems
- (2019) Murali Krishna Gumma et al. Remote Sensing
- Convolutional Neural Networks for the Automatic Identification of Plant Diseases
- (2019) Justine Boulent et al. Frontiers in Plant Science
- Deep learning in agriculture: A survey
- (2018) Andreas Kamilaris et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks
- (2018) Zhun Fan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- 3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
- (2018) Shunping Ji et al. Remote Sensing
- Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
- (2018) Shichao Jin et al. Frontiers in Plant Science
- A systematic study of the class imbalance problem in convolutional neural networks
- (2018) Mateusz Buda et al. NEURAL NETWORKS
- Machine Learning in Agriculture: A Review
- (2018) Konstantinos Liakos et al. SENSORS
- The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers
- (2018) Antti Airola et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
- (2017) Xingrui Yu et al. GIScience & Remote Sensing
- Estimating the prediction performance of spatial models via spatial k-fold cross validation
- (2017) Jonne Pohjankukka et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- UAS, sensors, and data processing in agroforestry: a review towards practical applications
- (2017) Luís Pádua et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Plant identification using deep neural networks via optimization of transfer learning parameters
- (2017) Mostafa Mehdipour Ghazi et al. NEUROCOMPUTING
- Deep Learning for Image-Based Cassava Disease Detection
- (2017) Amanda Ramcharan et al. Frontiers in Plant Science
- DeepFruits: A Fruit Detection System Using Deep Neural Networks
- (2016) Inkyu Sa et al. SENSORS
- Using Deep Learning for Image-Based Plant Disease Detection
- (2016) Sharada P. Mohanty et al. Frontiers in Plant Science
- Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models
- (2013) Felix Kogan et al. International Journal of Applied Earth Observation and Geoinformation
- Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images
- (2013) José Manuel Peña et al. PLoS One
- Crop type mapping using spectral–temporal profiles and phenological information
- (2012) Saskia Foerster et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
- (2009) J. Berni et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now