WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF

A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions

(2020) Ji Zhao et al.   REMOTE SENSING OF ENVIRONMENT

Optimal Temporal Window Selection for Winter Wheat and Rapeseed Mapping with Sentinel-2 Images: A Case Study of Zhongxiang in China

(2020) Shiyao Meng et al.   Remote Sensing

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques

(2019) Sherrie Wang et al.   REMOTE SENSING OF ENVIRONMENT

Spectral-Spatial Attention Networks for Hyperspectral Image Classification

(2019) Xiaoguang Mei et al.   Remote Sensing

Deep Learning for Hyperspectral Image Classification: An Overview

(2019) Shutao Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

(2018) Zilong Zhong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spectral-spatial classification of hyperspectral imagery with cooperative game

(2018) Ji Zhao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

(2018) Yaping Cai et al.   REMOTE SENSING OF ENVIRONMENT

Tea cultivar classification and biochemical parameter estimation from hyperspectral imagery obtained by UAV

(2018) Yexin Tu et al.   PeerJ

Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications

(2018) Yanfei Zhong et al.   IEEE Geoscience and Remote Sensing Magazine

Convolutional neural networks for hyperspectral image classification

(2017) Shiqi Yu et al.   NEUROCOMPUTING

Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry

(2017) Telmo Adão et al.   Remote Sensing

Change Detection Based on a Multifeature Probabilistic Ensemble Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery

(2016) Pengyuan Lv et al.   IEEE Geoscience and Remote Sensing Letters

Change Detection Based on Conditional Random Field With Region Connection Constraints in High-Resolution Remote Sensing Images

(2016) Licun Zhou et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Crop Classification Based on Feature Band Set Construction and Object-Oriented Approach Using Hyperspectral Images

(2016) Xia Zhang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data

(2015) Kenichi Tatsumi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detail-Preserving Smoothing Classifier Based on Conditional Random Fields for High Spatial Resolution Remote Sensing Imagery

(2015) Ji Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Classification of crops across heterogeneous agricultural landscape in Kenya using AisaEAGLE imaging spectroscopy data

(2015) Rami Piiroinen et al.   International Journal of Applied Earth Observation and Geoinformation

A Support Vector Conditional Random Fields Classifier With a Mahalanobis Distance Boundary Constraint for High Spatial Resolution Remote Sensing Imagery

(2014) Yanfei Zhong et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles

(2014) Juha Suomalainen et al.   Remote Sensing

Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades

(2013) Qingxi Tong et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

(2013) F. Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam

(2013) Nguyen-Thanh Son et al.   Remote Sensing

Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

(2013) Eija Honkavaara et al.   Remote Sensing

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Use of field reflectance data for crop mapping using airborne hyperspectral image

(2011) Rama Rao Nidamanuri et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Modeling and Classifying Hyperspectral Imagery by CRFs With Sparse Higher Order Potentials

(2010) Ping Zhong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains

(2007) Brian D. Wardlow et al.   REMOTE SENSING OF ENVIRONMENT