Cargando…

Identification of Crop Type in Crowdsourced Road View Photos with Deep Convolutional Neural Network

In situ ground truth data are an important requirement for producing accurate cropland type map, and this is precisely what is lacking at vast scales. Although volunteered geographic information (VGI) has been proven as a possible solution for in situ data acquisition, processing and extracting valu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Fangming, Wu, Bingfang, Zhang, Miao, Zeng, Hongwei, Tian, Fuyou
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914883/ https://www.ncbi.nlm.nih.gov/pubmed/33562266 http://dx.doi.org/10.3390/s21041165

Ejemplares similares

Challenges and opportunities in remote sensing-based crop monitoring: a review
por: Wu, Bingfang, et al.
Publicado: (2022)

Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products
por: Zheng, Yang, et al.
Publicado: (2016)

Crop Identification Using Deep Learning on LUCAS Crop Cover Photos
por: Yordanov, Momchil, et al.
Publicado: (2023)

Editorial: Convolutional neural networks and deep learning for crop improvement and production
por: Yang, Wanneng, et al.
Publicado: (2022)

Automatic identification of pavement cracks in public roads using an optimized deep convolutional neural network model
por: Lv, Zhihan, et al.
Publicado: (2023)

Structured crowdsourcing enables convolutional segmentation of histology images
por: Amgad, Mohamed, et al.
Publicado: (2019)

A Refined Crop Drought Monitoring Method Based on the Chinese GF-1 Wide Field View Data
por: Chang, Sheng, et al.
Publicado: (2018)

Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network
por: Miao, Minmin, et al.
Publicado: (2020)

Predicting enhancers with deep convolutional neural networks
por: Min, Xu, et al.
Publicado: (2017)

A crowdsourcing approach to collecting photo-based insect and plant observation records
por: Osawa, Takeshi, et al.
Publicado: (2017)

Crowdsourcing architectural beauty: Online photo frequency predicts building aesthetic ratings
por: Saiz, Albert, et al.
Publicado: (2018)

Detection of Road Potholes by Applying Convolutional Neural Network Method Based on Road Vibration Data
por: Ozoglu, Furkan, et al.
Publicado: (2023)

Multi-view classification with convolutional neural networks
por: Seeland, Marco, et al.
Publicado: (2021)

Constructing a simplified interurban road network based on crowdsourced geodata
por: Prieto-Curiel, Rafael, et al.
Publicado: (2022)

On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes
por: Baldini, Gianmarco, et al.
Publicado: (2020)

The Face Inversion Effect in Deep Convolutional Neural Networks
por: Tian, Fang, et al.
Publicado: (2022)

Correction: Multi-view classification with convolutional neural networks
Publicado: (2021)

Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer
por: Zhu, Dingju, et al.
Publicado: (2023)

Crop pest detection by three-scale convolutional neural network with attention
por: Wang, Xuqi, et al.
Publicado: (2023)

Grape Leaf Disease Identification Using Improved Deep Convolutional Neural Networks
por: Liu, Bin, et al.
Publicado: (2020)

Deep Convolutional Neural Network for Nasopharyngeal Carcinoma Discrimination on MRI by Comparison of Hierarchical and Simple Layered Convolutional Neural Networks
por: Ji, Li, et al.
Publicado: (2022)

Automatic Recognition of Road Damage Based on Lightweight Attentional Convolutional Neural Network
por: Liang, Han, et al.
Publicado: (2022)

Application of Deep Convolutional Neural Network for Automatic Detection of Digital Optical Fiber Repeater
por: Tian, Xingkang, et al.
Publicado: (2022)

PHOTO-ELICITATION- A VIEW OF DEEP OLD AGE AND SOCIAL INCLUSION
por: Eliopoulos, Elaine
Publicado: (2022)

Automatic Identification of Down Syndrome Using Facial Images with Deep Convolutional Neural Network
por: Qin, Bosheng, et al.
Publicado: (2020)

A Method for Extracting Road Boundary Information from Crowdsourcing Vehicle GPS Trajectories
por: Yang, Wei, et al.
Publicado: (2018)

Save Our Roads from GNSS Jamming: A Crowdsource Framework for Threat Evaluation
por: Yozevitch, Roi, et al.
Publicado: (2021)

Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks
por: Wu, Miao, et al.
Publicado: (2018)

Multi-View Image Denoising Using Convolutional Neural Network
por: Zhou, Shiwei, et al.
Publicado: (2019)

DeepBound: accurate identification of transcript boundaries via deep convolutional neural fields
por: Shao, Mingfu, et al.
Publicado: (2017)

Crowdsourcing to explore views about asthma severity among asthma experts
por: Lötvall, Jan, et al.
Publicado: (2013)

Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network
por: Khan, Mohd Jawed, et al.
Publicado: (2023)

Identification of natural selection in genomic data with deep convolutional neural network
por: Nguembang Fadja, Arnaud, et al.
Publicado: (2021)

A Multi-Task Road Feature Extraction Network with Grouped Convolution and Attention Mechanisms
por: Zhu, Wenjie, et al.
Publicado: (2023)

Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images
por: Wu, Meijing, et al.
Publicado: (2023)

On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
por: Minallah, Nasru, et al.
Publicado: (2020)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network
por: Huang, Chen, et al.
Publicado: (2019)

Gas Classification Using Deep Convolutional Neural Networks
por: Peng, Pai, et al.
Publicado: (2018)

Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks
por: Liu, Yang, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_e5c8a3mvnebm2vlf88l19niga1