Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for revolutionizing data analysis and applications in many domains of Earth sciences. This …
Remote sensing (RS) plays an important role gathering data in many critical domains (eg, global climate change, risk assessment and vulnerability reduction of natural hazards …
In past years, we have witnessed the fields of geosciences and remote sensing and artificial intelligence (AI) become closer. Thanks to the massive availability of observational data …
S Wang, W Han, X Huang, X Zhang, L Wang… - ISPRS Journal of …, 2024 - Elsevier
Geographic spaces is a vast and complex system involving multiple elements and nonlinear interactions of these elements, and rich in geographical phenomena, processes and …
H Chen, L Yang, Q Wu - Remote Sensing, 2023 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have been applied to solve various remote sensing problems. To fully leverage the power of AI and ML to tackle impactful …
In recent years, Earth system sciences are urgently calling for innovation on improving accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
CM Gevaert - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Artificial intelligence and machine learning are ubiquitous in the domain of Earth Observation (EO) and Remote Sensing. Congruent to their success in the domain of …
Y Long, GS Xia, S Li, W Yang, MY Yang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before …
Due to limited resources and environmental pollution, monitoring the geological environment has become essential for many countries' sustainable development. As various …