My research uses machine learning and computer vision for Earth observation. The work groups into four directions: interpreting multi-sensor EO data, designing EO-specialised architectures, training under limited annotation, and extending EO capabilities with foundation models. The interest started during a year as a trainee at the UN Satellite Centre (UNOSAT) and now spans disaster response, urban planning, land-cover mapping, and environmental monitoring.
Optical, SAR, maps, and time series each capture the Earth's surface in different ways. I study what they share and where they diverge, so models stay reliable when one sensor is unavailable.
Standard vision models miss what makes EO data different: multi-temporal, multi-spectral, very large in spatial extent. I design networks that build these properties into their structure.
Pixel-level annotation is expensive and slow. I work on open benchmarks, label-efficient learning, and synthetic data, so models can be trained faster and used in regions or scenarios where labels are missing.
A more recent thread looks at foundation models and vision-language systems for geoscience, and whether they can move EO from producing maps to supporting higher-level reasoning across domains such as land-cover mapping, urban planning, disaster response, and environmental monitoring.
SARU: A Shadow-Aware and Removal Unified Framework for remote sensing images with new benchmarks
ISPRS Journal of Photogrammetry and Remote Sensing, 2026
MM-OVSeg: Multimodal optical-SAR fusion for open-vocabulary segmentation in remote sensing
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
ChangeBridge: Spatiotemporal image generation with multimodal controls for remote sensing
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
Multimodal remote sensing change detection: An image matching perspective
ISPRS Journal of Photogrammetry and Remote Sensing, 2026
Enhancing monocular height estimation via sparse LiDAR-guided correction
ISPRS Journal of Photogrammetry and Remote Sensing, 2026
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
CityVLM: Towards sustainable urban development via multi-view coordinated vision-language model
ISPRS Journal of Photogrammetry and Remote Sensing, 2026
International Journal of Applied Earth Observation and Geoinformation (JAG), 2026
SARLANG-1M: A benchmark for vision-language modeling in SAR image understanding
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2026
Marine Pollution Bulletin, 2026
Earth System Science Data (ESSD), 2025
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2025
Report on the 2025 IEEE GRSS Data Fusion Contest: All-weather land cover and building damage mapping
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2025
Advancing weakly-supervised change detection in satellite images via adversarial class prompting
IEEE Transactions on Image Processing (TIP), 2025
CGSL: Commonality graph structure learning for unsupervised multimodal change detection
ISPRS Journal of Photogrammetry and Remote Sensing, 2025
2025 IEEE GRSS Data Fusion Contest: All-weather land cover and building damage mapping
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2025
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2025
ISPRS Journal of Photogrammetry and Remote Sensing, 2025
HyperSIGMA: Hyperspectral intelligence comprehension foundation model
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
DisasterM3: A remote sensing vision-language dataset for disaster damage assessment and response
Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
ChangeMamba: Remote sensing change detection with spatiotemporal state space model
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
UNet-like remote sensing change detection: A review of current models and research directions
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2024
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Generalized few-shot semantic segmentation in remote sensing: Challenge and benchmark
IEEE Geoscience and Remote Sensing Letters (GRSL), 2024
Aquatic Conservation: Marine and Freshwater Ecosystems, 2024
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
OpenEarthMap benchmark suite and its applications
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
SyntheWorld: A large-scale synthetic dataset for land cover mapping and building change detection
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Fourier domain structural relationship analysis for unsupervised multimodal change detection
ISPRS Journal of Photogrammetry and Remote Sensing, 2023
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
IEEE Transactions on Cybernetics (TCYB), 2022
Dual-tasks Siamese transformer framework for building damage assessment
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
International Journal of Applied Earth Observation and Geoinformation (JAG), 2021
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020
Deep Siamese multi-scale convolutional network for change detection in multi-temporal VHR images
International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2019
For the most current list with citation counts, see my Google Scholar profile.