Lightweight Semantic Segmentation Network for Real-Time Weed Mapping Using Unmanned Aerial Vehicles

Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery

(2020) Huasheng Huang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures

(2020) Panagiotis Barmpoutis et al.   Remote Sensing

Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices

(2019) Hossain et al.   SENSORS

Surveying Wild Animals from Satellites, Manned Aircraft and Unmanned Aerial Systems (UASs): A Review

(2019) Dongliang Wang et al.   Remote Sensing

A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery

(2018) Huasheng Huang et al.   PLoS One

A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery

(2018) Huasheng Huang et al.   SENSORS

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

(2017) Gang Fu et al.   Remote Sensing

Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics

(2017) Athanasios Balafoutis et al.   Sustainability

Assessing the potential of images from unmanned aerial vehicles (UAV) to support herbicide patch spraying in maize

(2016) F. Castaldi et al.   PRECISION AGRICULTURE

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

(2015) M. Pérez-Ortiz et al.   APPLIED SOFT COMPUTING

Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

(2015) Pasquale Foggia et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Weed detection for site-specific weed management: mapping and real-time approaches

(2010) F LÓPEZ-GRANADOS   WEED RESEARCH