Thomas Corpetti
YOU?
Author Swipe
View article: Shifting the remote sensing paradigm for monitoring the critical zone using drones
Shifting the remote sensing paradigm for monitoring the critical zone using drones Open
Remote sensing data are increasingly used to monitor the critical zone. This study argues that drones are transforming the remote sensing paradigm. While recent satellite constellations (e.g., Sentinel-1 and Sentinel-2) have revolutionized…
View article: Extracting bathymetric information from LiDAR waveforms with 1D neural networks.
Extracting bathymetric information from LiDAR waveforms with 1D neural networks. Open
Bathymetry is a critical component in many geomorphological and ecological studies of coastal and fluvial environments. Bathymetric lidar remote sensing enables the acquisition of high-resolution, 3D data on shallow sea- and riverbeds, thu…
View article: Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia
Applying the Dempster–Shafer Fusion Theory to Combine Independent Land-Use Maps: A Case Study on the Mapping of Oil Palm Plantations in Sumatra, Indonesia Open
The remote sensing community benefits from new sensors and easier access to Earth Observation data to frequently released new land-cover maps. The propagation of such independent and heterogeneous products offers promising perspectives for…
View article: Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss Open
In this study, we tackle the challenge of identifying plant species from ultra high resolution (UHR) remote sensing images. Our approach involves introducing an RGB remote sensing dataset, characterized by millimeter-level spatial resoluti…
View article: Fusion Network and Open Access Dataset for Landslide Detection: a Comparative Analysis on Bijie and Hokkaido Datasets
Fusion Network and Open Access Dataset for Landslide Detection: a Comparative Analysis on Bijie and Hokkaido Datasets Open
International audience
View article: Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss
Plant Detection from Ultra High Resolution Remote Sensing Images: A Semantic Segmentation Approach Based on Fuzzy Loss Open
In this study, we tackle the challenge of identifying plant species from\nultra high resolution (UHR) remote sensing images. Our approach involves\nintroducing an RGB remote sensing dataset, characterized by millimeter-level\nspatial resol…
View article: Enhancing Change Detection and Super-Resolution with Nimbo Data
Enhancing Change Detection and Super-Resolution with Nimbo Data Open
International audience
View article: Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network
Landslide Detection in 3D Point Clouds With Deep Siamese Convolutional Network Open
International audience
View article: Extracting Optical and Physical Properties of Various Waters Using Lidar Waveforms and Deep Neural Networks
Extracting Optical and Physical Properties of Various Waters Using Lidar Waveforms and Deep Neural Networks Open
International audience
View article: Seasonal types in homogeneous rainfall regions of the Amazon basin
Seasonal types in homogeneous rainfall regions of the Amazon basin Open
Due to its size and geographical features, different average annual rainfall regimes co‐exist in the Amazon basin, with distinct year‐to‐year variability dependent on regions within the basin. In this study, we define and explain the seaso…
View article: Change Detection Needs Change Information: Improving Deep 3-D Point Cloud Change Detection
Change Detection Needs Change Information: Improving Deep 3-D Point Cloud Change Detection Open
International audience
View article: Evaluation of the Urban Weather Generator on the City of Toulouse (France)
Evaluation of the Urban Weather Generator on the City of Toulouse (France) Open
This article addresses the simulation of urban air temperatures with a focus on evaluating the Urban Weather Generator (UWG) model over Toulouse, France. As urban temperatures, influenced by factors like urbanization, anthropogenic heat re…
View article: Bathymetric LiDAR Waveform Decomposition with Temporal Attentive Encoder-Decoders
Bathymetric LiDAR Waveform Decomposition with Temporal Attentive Encoder-Decoders Open
International audience
View article: Consistent Colorization of Sentinel-2 Images for Global Product Generation
Consistent Colorization of Sentinel-2 Images for Global Product Generation Open
International audience
View article: "Low Supervision" Deep Cluster Change Detection (CDCluster) On Remote Sensing RGB Data: Towards The Unsupervising Clustering Framework
"Low Supervision" Deep Cluster Change Detection (CDCluster) On Remote Sensing RGB Data: Towards The Unsupervising Clustering Framework Open
International audience
View article: Learning UAV-Based Above-Ground Biomass Regression Models in Sparse Training Data Environments
Learning UAV-Based Above-Ground Biomass Regression Models in Sparse Training Data Environments Open
This study aims at recovering above-ground biomass information from ultra-high resolution UAV RGB-NIR orthophotos. We focus on a realistic scenario where a limited number of training samples for a landscape with heterogeneous herbaceous ve…
View article: Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics Open
Wasserstein distance (WD) and the associated optimal transport plan have been proven useful in many applications where probability measures are at stake. In this paper, we propose a new proxy of the squared WD, coined min-SWGG, that is bas…
View article: Evaluation of Urban Weather Generator for air temperature and urban heat islands simulation over Toulouse (France)
Evaluation of Urban Weather Generator for air temperature and urban heat islands simulation over Toulouse (France) Open
International audience
View article: Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection Open
Change detection from traditional \added{2D} optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud \added{from photogrammetry or LiDAR surveying} can fill this g…
View article: Change detection needs change information: improving deep 3D point cloud change detection
Change detection needs change information: improving deep 3D point cloud change detection Open
Change detection is an important task that rapidly identifies modified areas, particularly when multi-temporal data are concerned. In landscapes with a complex geometry (e.g., urban environment), vertical information is a very useful sourc…
View article: “Fusion network with attention for landslide detection. Application to Bijie landslide open dataset”
“Fusion network with attention for landslide detection. Application to Bijie landslide open dataset” Open
Remote sensing techniques are now widely spread for the early detection of ground deformation, implementation of warning systems in case of imminent landslide triggering, and medium- and long-term slope instability monitoring. The large br…
View article: 3DMASC: accessible, explainable 3D point clouds classification. Application to bi-spectral topo-bathymetric LiDAR data.
3DMASC: accessible, explainable 3D point clouds classification. Application to bi-spectral topo-bathymetric LiDAR data. Open
Three-dimensional data have become increasingly present in earth observation over the last decades and, more recently, with the development of accessible 3D sensing technologies. However, many 3D surveys are still underexploited due to the…
View article: Super-Resolution by Fusing Multispectral and Terrain Models: Application to Water Level Mapping
Super-Resolution by Fusing Multispectral and Terrain Models: Application to Water Level Mapping Open
Recently, deep convolutional networks have made great progress on the task of super-resolution, i.e., reconstructing images with finer spatial resolution. However, although the reconstructions are visually impressive, they may lack physica…
View article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution Open
Nowadays, thermal infrared satellite remote sensors enable to extract very interesting information at large scale, in particular Land Surface Temperature (LST). However such data are limited in spatial and/or temporal resolutions which pre…
View article: Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN
Learning Digital Terrain Models from Point Clouds: ALS2DTM Dataset and Rasterization-based GAN Open
Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point clouds is still challenging. This might be due to the lack of dedicated large-scale…
View article: Template based Graph Neural Network with Optimal Transport Distances
Template based Graph Neural Network with Optimal Transport Distances Open
Current Graph Neural Networks (GNN) architectures generally rely on two important components: node features embedding through message passing, and aggregation with a specialized form of pooling. The structural (or topological) information …