Vision transformers for remote sensing image classification
In this paper, we propose a remote-sensing scene-classification method based on vision
transformers. These types of networks, which are now recognized as state-of-the-art models …
transformers. These types of networks, which are now recognized as state-of-the-art models …
On the application of machine learning to the design of UAV-based 5G radio access networks
A groundbreaking design of radio access networks (RANs) is needed to fulfill 5G traffic
requirements. To this aim, a cost-effective and flexible strategy consists of complementing …
requirements. To this aim, a cost-effective and flexible strategy consists of complementing …
Memory-based deep reinforcement learning for obstacle avoidance in UAV with limited environment knowledge
A Singla, S Padakandla… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper presents our method for enabling a UAV quadrotor, equipped with a monocular
camera, to autonomously avoid collisions with obstacles in unstructured and unknown …
camera, to autonomously avoid collisions with obstacles in unstructured and unknown …
Deep-learning-based neural network training for state estimation enhancement: Application to attitude estimation
Achieving precise state estimation is needed for the unmanned aerial vehicle to perform a
successful flight with a high degree of stability. Nonetheless, obtaining accurate state …
successful flight with a high degree of stability. Nonetheless, obtaining accurate state …
Object classification in thermal images using convolutional neural networks for search and rescue missions with unmanned aerial systems
CD Rodin, LN de Lima… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
In recent years, the use of Unmanned Aerial Systems (UAS) has become commonplace in a
wide variety of tasks due to their relatively low cost and ease of operation. In this paper, we …
wide variety of tasks due to their relatively low cost and ease of operation. In this paper, we …
A Novel Technique Using Planar Area and Ground Shadows Calculated from UAV RGB Imagery to Estimate Pistachio Tree (Pistacia vera L.) Canopy Volume
S Vélez, R Vacas, H Martín, D Ruano-Rosa, S Álvarez - Remote Sensing, 2022 - mdpi.com
Interest in pistachios has increased in recent years due to their healthy nutritional profile and
high profitability. In pistachio trees, as in other woody crops, the volume of the canopy is a …
high profitability. In pistachio trees, as in other woody crops, the volume of the canopy is a …
Multimodal representation learning for place recognition using deep Hebbian predictive coding
Recognising familiar places is a competence required in many engineering applications that
interact with the real world such as robot navigation. Combining information from different …
interact with the real world such as robot navigation. Combining information from different …
A deep learning approach on building detection from unmanned aerial vehicle-based images in riverbank monitoring
Buildings along riverbanks are likely to be affected by rising water levels, therefore the
acquisition of accurate building information has great importance not only for riverbank …
acquisition of accurate building information has great importance not only for riverbank …
Dronesegnet: robust aerial semantic segmentation for UAV-based IoT applications
Unmanned Aerial Vehicles (UAVs) are the promising “Flying IoT” devices of the future, which
can be equipped with various sensors and cognitive capabilities to perform numerous tasks …
can be equipped with various sensors and cognitive capabilities to perform numerous tasks …
Disaster victims detection system using convolutional neural network (CNN) method
DR Hartawan, TW Purboyo… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Natural disasters are one of the things that cannot be predicted. Natural disasters can cause
losses, both assets and objects can even take lives. To reduce the number of losses, rapid …
losses, both assets and objects can even take lives. To reduce the number of losses, rapid …