Extraction of Sunflower Lodging Information Based on UAV Multi-Spectral Remote Sensing and Deep Learning

Distinguishing Planting Structures of Different Complexity from UAV Multispectral Images

(2021) Qian Ma et al.   SENSORS

Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images

(2020) Ming-Der Yang et al.   Remote Sensing

Development of Response Surface Model of Endurance Time and Structural Parameter Optimization for a Tailsitter UAV

(2020) Xiaomin Yao et al.   SENSORS

Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data

(2020) Sugandh Chauhan et al.   REMOTE SENSING OF ENVIRONMENT

Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet

(2020) Ming-Der Yang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging

(2020) Zhishuang Song et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach

(2019) Norman Wilke et al.   Remote Sensing

Mapping Maize Water Stress Based on UAV Multispectral Remote Sensing

(2019) Liyuan Zhang et al.   Remote Sensing

Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery

(2019) Yaxiao Niu et al.   Remote Sensing

Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging

(2019) Zhao et al.   SENSORS

Maize Canopy Temperature Extracted From UAV Thermal and RGB Imagery and Its Application in Water Stress Monitoring

(2019) Liyuan Zhang et al.   Frontiers in Plant Science

Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data

(2019) Sugandh Chauhan et al.   REMOTE SENSING OF ENVIRONMENT

Estimates of rice lodging using indices derived from UAV visible and thermal infrared images

(2018) Tao Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Quantitative Identification of Maize Lodging-Causing Feature Factors Using Unmanned Aerial Vehicle Images and a Nomogram Computation

(2018) Liang Han et al.   Remote Sensing

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

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

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery

(2017) Ming-Der Yang et al.   Remote Sensing

Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images

(2017) Tianxing Chu et al.   Remote Sensing

Wheat lodging monitoring using polarimetric index from RADARSAT-2 data

(2015) Hao Yang et al.   International Journal of Applied Earth Observation and Geoinformation

Variations in crop variables within wheat canopies and responses of canopy spectral characteristics and derived vegetation indices to different vertical leaf layers and spikes

(2015) Heli Li et al.   REMOTE SENSING OF ENVIRONMENT