97 citations · 106 across the 24 of their papers we have counts for
23 papers · 1 filter
SeasonStereo: Robust Dense Stereo Matching for Multi-Date Satellite Imagery via Generative AI
Álvaro Díaz-Laureano, Roger Marí, Elías Masquil +2
Accurate 3D reconstruction from satellite imagery typically relies on near-simultaneous stereo pairs, limiting its applicability to diachronic settings where multi-date images exhi…
Robust RPC Bundle Adjustment for Multi-Date Satellite Imagery with Season-Invariant Correspondences
Roger Marí, Elías Masquil, Xavier Bou +2
Accurate refinement of Rational Polynomial Camera (RPC) models is essential for high-quality satellite image geolocation. In ground control point (GCP)-free multi-view pipelines, t…
Generalization Limits in Vehicle Re-Identification
Anis Yassine Ben Mabrouk, Antoine Tadros, Rafael Grompone von Gioi +3
Vehicle re-identification focuses on retrieving images of the same vehicle from a gallery given a query image. Upon closer inspection of commonly used datasets, we observe that veh…
Deep S2P: Integrating Learning Based Stereo Matching Into the Satellite Stereo Pipeline
Elías Masquil, Thibaud Ehret, Pablo Musé +1
Digital Surface Model generation from satellite imagery is a core task in Earth observation and is commonly addressed using classical stereoscopic matching algorithms in satellite…
An Industrial Dataset for Scene Acquisitions and Functional Schematics Alignment
Flavien Armangeon, Thibaud Ehret, Enric Meinhardt-Llopis +4
Aligning functional schematics with 2D and 3D scene acquisitions is crucial for building digital twins, especially for old industrial facilities that lack native digital models. Cu…
Diachronic Stereo Matching for Multi-Date Satellite Imagery
Elías Masquil, Luca Savant Aira, Roger Marí +3
Recent advances in image-based satellite 3D reconstruction have progressed along two complementary directions. On one hand, multi-date approaches using NeRF or Gaussian-splatting j…
Remote Sensing Change Detection via Weak Temporal Supervision
Xavier Bou, Elliot Vincent, Gabriele Facciolo +3
Semantic change detection in remote sensing aims to identify land cover changes between bi-temporal image pairs. Progress in this area has been limited by the scarcity of annotated…
Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone
Tristan Amadei, Enric Meinhardt-Llopis, Benedicte Bascle +2
Image-based localization in GNSS-denied environments is critical for UAV autonomy. Existing state-of-the-art approaches rely on matching UAV images to geo-referenced satellite imag…
EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering
Pierrick Bournez, Luca Savant Aira, Thibaud Ehret +1
Recently, 3D Gaussian Splatting has been introduced as a compelling alternative to NeRF for Earth observation, offering competitive reconstruction quality with significantly reduce…
Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection
Adhemar de Senneville, Xavier Bou, Thibaud Ehret +5
Object detection is one of the main applications of computer vision in remote sensing imagery. Despite its increasing availability, the sheer volume of remote sensing data poses a…
Normalized vs Diplomatic Annotation: A Case Study of Automatic Information Extraction from Handwritten Uruguayan Birth Certificates
Natalia Bottaioli, Solène Tarride, Jérémy Anger +8
This study evaluates the recently proposed Document Attention Network (DAN) for extracting key-value information from Uruguayan birth certificates, handwritten in Spanish. We inves…
S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications
Elías Masquil, Roger Marí, Thibaud Ehret +3
We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometry-aware shadow detection. Collected from diverse public-domain sources, including…
Gaussian Splatting for Efficient Satellite Image Photogrammetry
Luca Savant Aira, Gabriele Facciolo, Thibaud Ehret
Recently, Gaussian splatting has emerged as a strong alternative to NeRF, demonstrating impressive 3D modeling capabilities while requiring only a fraction of the training and rend…
Structure Tensor Representation for Robust Oriented Object Detection
Xavier Bou, Gabriele Facciolo, Rafael Grompone von Gioi +2
Oriented object detection predicts orientation in addition to object location and bounding box. Precisely predicting orientation remains challenging due to angular periodicity, whi…
Leveraging edge detection and neural networks for better UAV localization
Theo Di Piazza, Enric Meinhardt-Llopis, Gabriele Facciolo +3
We propose a novel method for geolocalizing Unmanned Aerial Vehicles (UAVs) in environments lacking Global Navigation Satellite Systems (GNSS). Current state-of-the-art techniques…
Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
Xavier Bou, Gabriele Facciolo, Rafael Grompone von Gioi +2
The goal of this paper is to perform object detection in satellite imagery with only a few examples, thus enabling users to specify any object class with minimal annotation. To thi…
Radar Fields: An Extension of Radiance Fields to SAR
Thibaud Ehret, Roger Marí, Dawa Derksen +2
Radiance fields have been a major breakthrough in the field of inverse rendering, novel view synthesis and 3D modeling of complex scenes from multi-view image collections. Since th…
On the Importance of Large Objects in CNN Based Object Detection Algorithms
Ahmed Ben Saad, Gabriele Facciolo, Axel Davy
Object detection models, a prominent class of machine learning algorithms, aim to identify and precisely locate objects in images or videos. However, this task might yield uneven p…
Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling
Xavier Bou, Aitor Artola, Thibaud Ehret +3
Detecting relevant changes is a fundamental problem of video surveillance. Because of the high variability of data and the difficulty of properly annotating changes, unsupervised m…
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery
Ngoc Long Nguyen, Jérémy Anger, Axel Davy +2
High-resolution satellite imagery is a key element for many Earth monitoring applications. Satellites such as Sentinel-2 feature characteristics that are favorable for super-resolu…
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution
Ngoc Long Nguyen, Jérémy Anger, Lara Raad +2
In this work, we study the problem of single-image super-resolution (SISR) of Sentinel-2 imagery. We show that thanks to its unique sensor specification, namely the inter-band shif…
Regularization of NeRFs using differential geometry
Thibaud Ehret, Roger Marí, Gabriele Facciolo
Neural radiance fields, or NeRF, represent a breakthrough in the field of novel view synthesis and 3D modeling of complex scenes from multi-view image collections. Numerous recent…
Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras
Roger Marí, Gabriele Facciolo, Thibaud Ehret
We introduce the Satellite Neural Radiance Field (Sat-NeRF), a new end-to-end model for learning multi-view satellite photogrammetry in the wild. Sat-NeRF combines some of the late…