A review on explainability in multimodal deep neural nets
Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …
in several application domains, most significantly and notably in the Computer Vision …
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward
Earth observation (EO) is increasingly used for map** 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 …
Understanding deep learning in land use classification based on Sentinel-2 time series
The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is
rapidly increasing. DL techniques have provided excellent results in applications ranging …
rapidly increasing. DL techniques have provided excellent results in applications ranging …
Interpretable image classification with differentiable prototypes assignment
Existing prototypical-based models address the black-box nature of deep learning.
However, they are sub-optimal as they often assume separate prototypes for each class …
However, they are sub-optimal as they often assume separate prototypes for each class …
[LIBRO][B] Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep
learning in the field of earth sciences, from four leading voices Deep learning is a …
learning in the field of earth sciences, from four leading voices Deep learning is a …
Icicle: Interpretable class incremental continual learning
Continual learning enables incremental learning of new tasks without forgetting those
previously learned, resulting in positive knowledge transfer that can enhance performance …
previously learned, resulting in positive knowledge transfer that can enhance performance …
Artificial intelligence to advance Earth observation: a perspective
Earth observation (EO) is a prime instrument for monitoring land and ocean processes,
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …
studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's …
Protoseg: Interpretable semantic segmentation with prototypical parts
We introduce ProtoSeg, a novel model for interpretable semantic image segmentation,
which constructs its predictions using similar patches from the training set. To achieve …
which constructs its predictions using similar patches from the training set. To achieve …
Toward a collective agenda on ai for earth science data analysis
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 …
intelligence (AI) become closer. Thanks to the massive availability of observational data …
Geoinformation harvesting from social media data: A community remote sensing approach
As unconventional sources of geoinformation, massive imagery and text messages from
open platforms and social media form a temporally quasi-seamless, spatially …
open platforms and social media form a temporally quasi-seamless, spatially …