Enhanced Convolutional-Neural-Network Architecture for Crop Classification

Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

(2021) Janne Mäyrä et al.   REMOTE SENSING OF ENVIRONMENT

HYDRUS-1D Simulation of Soil Water Dynamics for Sweet Corn under Tropical Rainfed Condition

(2020) Mazhar Iqbal et al.   Applied Sciences-Basel

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray

(2020) Tawsifur Rahman et al.   Applied Sciences-Basel

Systematic Mapping Study on Remote Sensing in Agriculture

(2020) José Alberto García-Berná et al.   Applied Sciences-Basel

Data Augmentation Method by Applying Color Perturbation of Inverse PSNR and Geometric Transformations for Object Recognition Based on Deep Learning

(2020) Eun Kyeong Kim et al.   Applied Sciences-Basel

Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development

(2020) Axel Escamilla-García et al.   Applied Sciences-Basel

Complex network classification with convolutional neural network

(2020) Ruyue Xin et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Toward Developing Efficient Conv-AE-Based Intrusion Detection System Using Heterogeneous Dataset

(2020) Muhammad Ashfaq Khan et al.   Electronics

Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences

(2020) Jorge Andres Chamorro Martinez et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Crop type classification using a combination of optical and radar remote sensing data: a review

(2019) Aiym Orynbaikyzy et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images

(2019) Nima Teimouri et al.   Remote Sensing

Impact of Texture Information on Crop Classification with Machine Learning and UAV Images

(2019) Geun-Ho Kwak et al.   Applied Sciences-Basel

Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data

(2019) Ya’nan Zhou et al.   GIScience & Remote Sensing

Deep convolutional neural networks for land-cover classification with Sentinel-2 images

(2019) Eleni Kroupi et al.   Journal of Applied Remote Sensing

Crop pest classification based on deep convolutional neural network and transfer learning

(2019) K. Thenmozhi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification

(2019) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

CDnet: CNN-Based Cloud Detection for Remote Sensing Imagery

(2019) Jingyu Yang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences

(2019) Laura Elena Cué La Rosa et al.   Remote Sensing

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

(2019) Swalpa Kumar Roy et al.   IEEE Geoscience and Remote Sensing Letters

Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)

(2019) Vittorio Mazzia et al.   Applied Sciences-Basel

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical Areas

(2018) Ieda Del'Arco Sanches et al.   IEEE Geoscience and Remote Sensing Letters

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

(2018) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

A review of Convolutional-Neural-Network-based action recognition

(2018) Guangle Yao et al.   PATTERN RECOGNITION LETTERS

An object-based convolutional neural network (OCNN) for urban land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

(2018) Giuseppe Scarpa et al.   Remote Sensing

3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images

(2018) Shunping Ji et al.   Remote Sensing

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

(2018)   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Big earth observation time series analysis for monitoring Brazilian agriculture

(2018) Michelle Cristina Araujo Picoli et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France

(2018) Emile Ndikumana et al.   Remote Sensing

Crop classification with WorldView-2 imagery using Support Vector Machine comparing texture analysis approaches and grey relational analysis in Jianan Plain, Taiwan

(2018) Shiuan Wan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

3D convolutional neural network for object recognition: a review

(2018) Rahul Dev Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Deep learning based multi-temporal crop classification

(2018) Liheng Zhong et al.   REMOTE SENSING OF ENVIRONMENT

dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery

(2018) Paheding Sidike et al.   REMOTE SENSING OF ENVIRONMENT

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters