Vision transformer: An excellent teacher for guiding small networks in remote sensing image scene classification
K Xu, P Deng, H Huang - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
Scene classification is an active research topic in the remote sensing community, and
complex spatial layouts with various types of objects bring huge challenges to classification …
complex spatial layouts with various types of objects bring huge challenges to classification …
How Artificial Intelligence Helped the Humanity During the COVID-19 Pandemic: A Review
A Alnoman - IEEE Transactions on Artificial Intelligence, 2023 - ieeexplore.ieee.org
The unprecedented circumstances encountered during the COVID-19 pandemic in a variety
of life aspects such as health, economy, and environment have urged the humanity to devise …
of life aspects such as health, economy, and environment have urged the humanity to devise …
Exploring the effect of COVID-19 pandemic lockdowns on urban cooling: A tale of three cities
COVID-19 pandemic has had a major impact on our society, environment and public health,
in both positive and negative ways. The main aim of this study is to monitor the effect of …
in both positive and negative ways. The main aim of this study is to monitor the effect of …
Density Map-based vehicle counting in remote sensing images with limited resolution
Observing traffic flow is of great significance to contemporary urban management. Overhead
images, as represented by remote sensing images, provide a major source of information …
images, as represented by remote sensing images, provide a major source of information …
Impacts of COVID-19 on SDGs revealed by satellite remote sensing: a bibliometric analysis and systematic review
X Chen, Z Xu, T Jiang - Discover Sustainability, 2024 - Springer
The COVID-19 pandemic and its associated response measures have profoundly impacted
both the environment and human life, posing significant challenges to the achievement of …
both the environment and human life, posing significant challenges to the achievement of …
[HTML][HTML] An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images
In order to mitigate the spread of COVID-19, Wuhan was the first city to implement strict
lockdown policy in 2020. Even though numerous researches have discussed the travel …
lockdown policy in 2020. Even though numerous researches have discussed the travel …
Investigating the resolution-performance trade-off of object detection models in support of the Sustainable Development Goals
CN Clark, A Bedada, B Huff, B Lita… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Satellite imagery provides impartial, inclusive, and timely geospatial data regarding global
issues, supplementing traditional ground-based methods. The volume, velocity, and variety …
issues, supplementing traditional ground-based methods. The volume, velocity, and variety …
Hybrid vision transformer model for hyperspectral image classification
Due to the local connectivity property, convolutional neural network (CNN) can effectively
extract contextual detailed information. Therefore, a large number of CNN-based methods …
extract contextual detailed information. Therefore, a large number of CNN-based methods …
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Foundation models (FMs) are revolutionizing the analysis and understanding of remote
sensing (RS) scenes, including aerial RGB, multispectral, and SAR images. However …
sensing (RS) scenes, including aerial RGB, multispectral, and SAR images. However …
Point-based Weakly Semi-Supervised Oriented Vehicle Detection in Optical Remote Sensing Images
Z Tan, C Wu - IEEE Journal of Selected Topics in Applied Earth …, 2024 - ieeexplore.ieee.org
Vehicle detection is vital for urban planning and traffic management. Optical remote sensing
imagery, known for its high resolution and extensive coverage, is ideal for this task …
imagery, known for its high resolution and extensive coverage, is ideal for this task …