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Devis Tuia

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Related publications (151)

Page 7 of 8

Fine-grained population mapping from coarse census counts and open geodata

Devis Tuia, Benjamin Alexander Kellenberger

Fine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are collected, mor ...

Nature Research2022

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

Devis Tuia, Marc Conrad Russwurm, Lloyd Haydn Hughes

In this study, we examine the potential of several self-supervised deep learning models in predicting forest attributes and detecting forest changes using ESA Sentinel-1 and Sentinel-2 images. The performance of the proposed deep learning models is compare ...

The Institute of Electrical and Electronics Engineers, Inc2023

Mapping forest cover dynamics in the Swiss Alps using 70 years of aerial imagery

Devis Tuia, Benjamin Alexander Kellenberger, Marc Conrad Russwurm, Thiên-Anh Claris Nguyen

2023

Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion

Tsirihasina Sitraka Ranoeliarivao, Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud

In this paper, we propose a strategy for fusing clustering maps obtained with different remote sensing sources. Dempster- Shafer (DS) Theory is a powerful fusion method that allows to combine classifications from different sources and handles ignorance, im ...

IEEE2013

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

Devis Tuia

Ieee-Inst Electrical Electronics Engineers Inc2014

2016 IEEE GRSS Data Fusion Contest Very high temporal resolution from space

Devis Tuia

Ieee-Inst Electrical Electronics Engineers Inc2016

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation

Devis Tuia

The five papers in this special section focus on computer vision-based approaches for Earth observation. These papers followed a series of events promoting works at the interface between computer vision and remote sensing: the special sessions organized at ...

2020

Hierarchical sparse representation for dictionary-based classification of hyperspectral images

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Giona Matasci, Diego Marcos Gonzalez

2014

Scene and animal attributes retrieval from camera trap data with domain-adapted language-vision models

Devis Tuia, Alexander Mathis, Marc Conrad Russwurm, Valentin Alexandre Guy Gabeff

2023

Hydrometeor classification using clustering of polarimetric radar measurements

Alexis Berne, Devis Tuia, Jacopo Grazioli

2013

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks

Devis Tuia

Urban planners are increasingly interested in understanding what makes a neighbourhood pleasant and liveable. In this paper, we use the overhead perspective as a new way to describe and understand liveability of city neighborhoods. We predict building qual ...

IEEE2021

Devis Tuia

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Fine-grained population mapping from coarse census counts and open geodata

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

Mapping forest cover dynamics in the Swiss Alps using 70 years of aerial imagery

Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion

Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing

2016 IEEE GRSS Data Fusion Contest Very high temporal resolution from space

Foreword to the Special Issue on Computer Vision-Based Approaches for Earth Observation

Hierarchical sparse representation for dictionary-based classification of hyperspectral images

Scene and animal attributes retrieval from camera trap data with domain-adapted language-vision models

Hydrometeor classification using clustering of polarimetric radar measurements

Liveability from Above: Understanding Quality of Life with Overhead Imagery and Deep Neural Networks

Kernel sparse subspace clustering

Hydrometeor classification using data mining techniques and polarimetric radar observations

Domain adaptation with hidden Markov random fields

Investigating the feature extraction framework for domain adaptation in remote sensing image classification

Picture density in the space of geographic features: mapping landscape attractiveness

Multisource alignment of image manifolds

GeoAI as Collaborative Effort. Interview with Devis Tuia

Multi-view feature extraction for hyperspectral image classification

Statistical assessment of dataset shift in model portability of multi-angle image acquisitions