Artificial intelligence for geoscience: Progress, challenges and perspectives
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …
traditional physics-based models to modern data-driven approaches facilitated by significant …
[HTML][HTML] Explainable AI for earth observation: A review including societal and regulatory perspectives
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 …
Observation (EO) and Remote Sensing. Congruent to their success in the domain of …
[HTML][HTML] The urban morphology on our planet–Global perspectives from space
Urbanization is the second largest mega-trend right after climate change. Accurate
measurements of urban morphological and demographic figures are at the core of many …
measurements of urban morphological and demographic figures are at the core of many …
[HTML][HTML] Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks
Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote
sensing are becoming standard analytical tools in the geosciences. A series of studies has …
sensing are becoming standard analytical tools in the geosciences. A series of studies has …
Prompt-RSVQA: Prompting visual context to a language model for remote sensing visual question answering
Remote sensing visual question answering (RSVQA) was recently proposed with the aim of
interfacing natural language and vision to ease the access of information contained in Earth …
interfacing natural language and vision to ease the access of information contained in Earth …
On circuit-based hybrid quantum neural networks for remote sensing imagery classification
A Sebastianelli, DA Zaidenberg… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
This article aims to investigate how circuit-based hybrid quantum convolutional neural
networks (QCNNs) can be successfully employed as image classifiers in the context of …
networks (QCNNs) can be successfully employed as image classifiers in the context of …
Vision-language models in remote sensing: Current progress and future trends
The remarkable achievements of ChatGPT and Generative Pre-trained Transformer 4 (GPT-
4) have sparked a wave of interest and research in the field of large language models …
4) have sparked a wave of interest and research in the field of large language models …
Artificial intelligence to advance Earth observation: a perspective
D Tuia, K Schindler, B Demir, G Camps-Valls… - ar** and monitoring processes
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …
occurring at the surface of Earth. Data acquired by satellites nowadays allow us to have a …