Manuscript Topics

Remote sensing and UAV (Unmanned aerial vehicles) or drones have emerged as a transformative technology with applications spanning various domains. Drones acquire a substantial amount of data through diverse sensors, including multispectral, hyperspectral, and LiDAR. Intelligent computing methodologies play a crucial role in the analysis of such extensive datasets. Recently, these technologies have permeated conventional domains like surveying and monitoring and extended their influence on diverse sectors that necessitate data-centric decision-making, including transportation, agriculture, forestry, and environmental applications.

Given the profound advancements in this domain, this special issue aims to bring together cutting-edge research on the intersection of remote sensing, UAVs, and intelligent computing techniques such as machine learning and/or deep Learning, and explore new possibilities, challenges, and solutions.

Topics of Interest:

We invite researchers to contribute original research articles, review papers, and case studies on, but not limited to, the following topics:    
UAV design, data acquisition and planning    
Hyperspectral, multispectral and LiDAR data analysis and applications    
UAV Image analysis and pattern recognition    
Machine learning and Deep Learning techniques for UAV navigation and control    
Edge computing and UAVs for real-time applications    
Machine learning and deep learning for drone image analysis    
Object detection and classification in remote sensing images    
Transfer learning for drone-based remote sensing.    
Applications of UAV in IoT and precision agriculture    
Applications of UAV in security and surveillance    
Environmental monitoring and mapping with UAV    
Search, rescue and disaster risk assessment with UAV    
Drone/UAV image analysis for emergency response and recovery    
Deep learning for natural hazard/disaster(e.g., wildfire, flood, storm, earthquake, transport and others) detection and monitoring using Drone/UAV images

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