258 citations · 345 across the 12 of their papers we have counts for
12 papers
Detection of Christmas tree plantations from high-resolution aerial imagery. A case study in the French Morvan
Francesca Razzano, Emanuele Dalsasso, Adrien Baysse-Lainé +3
Christmas tree plantations are economically relevant, yet a largely unexplored application domain in Remote Sensing (RS). Their delineation is challenging because of high planting…
Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation
Chia-Hsiang Lin, Shih-Min Hsu, Ching-Yun Liang +2
Hyperspectral change detection (HCD) has found numerous key applications, such as land cover monitoring. The majority of benchmark HCD algorithms are semi-supervised methods, and s…
Descriptor: LYNRED Mobility Dataset Multimodal Detection Subset (LYNRED-MDS)
Loïc Arbez, Jessy Matias, Xavier Brenière +2
Current road safety systems primarily focus on minimizing post-collision damage. However, advances in algorithmic perception are shifting focus toward early collision prediction, e…
SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining
Nassim Ait Ali Braham, Aaron Banze, Conrad M. Albrecht +3
Earth observation (EO) foundation models (FMs) are increasingly trained on multisensor data, spanning multispectral imagery (MSI), synthetic aperture radar (SAR), and derived geosp…
Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning
Colin Prieur, Nassim Ait Ali Braham, Paul Tresson +2
Airborne hyperspectral imaging is a promising method for identifying tropical species, but spectral variability between acquisitions hinders consistent results. This paper proposes…
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
Zhu Han, Ce Zhang, Lianru Gao +4
Cross-scene image classification aims to transfer prior knowledge of ground materials to annotate regions with different distributions and reduce hand-crafted cost in the field of…
Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification
Zhu Han, Jin Yang, Lianru Gao +3
Deep learning (DL) has been widely applied into hyperspectral image (HSI) classification owing to its promising feature learning and representation capabilities. However, limited b…
Quantum Information-Empowered Graph Neural Network for Hyperspectral Change Detection
Chia-Hsiang Lin, Tzu-Hsuan Lin, Jocelyn Chanussot
Change detection (CD) is a critical remote sensing technique for identifying changes in the Earth's surface over time. The outstanding substance identifiability of hyperspectral im…
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation
Munish Monga, Sachin Kumar Giroh, Ankit Jha +3
Multi-Target Domain Adaptation (MTDA) entails learning domain-invariant information from a single source domain and applying it to multiple unlabeled target domains. Yet, existing…
Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events
Xin Wu, Zhanchao Huang, Li Wang +2
In large-scale disaster events, the planning of optimal rescue routes depends on the object detection ability at the disaster scene, with one of the main challenges being the prese…
Fast Semisupervised Unmixing Using Nonconvex Optimization
Behnood Rasti, Alexandre Zouaoui, Julien Mairal +1
In this paper, we introduce a novel linear model tailored for semisupervised/library-based unmixing. Our model incorporates considerations for library mismatch while enabling the e…
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
Danfeng Hong, Naoto Yokoya, Gui-Song Xia +2
This paper addresses the problem of semi-supervised transfer learning with limited cross-modality data in remote sensing. A large amount of multi-modal earth observation images, su…