Poster "remote sensing" Papers

12 papers found

Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery

Mélisande Teng, Arthur Ouaknine, Etienne Laliberté et al.

NEURIPS 2025arXiv:2506.04970
3
citations

Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?

Yuru Jia, Valerio Marsocci, Ziyang Gong et al.

ICCV 2025arXiv:2503.07890
5
citations

Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method

Han Wang, Shengyang Li, Jian Yang et al.

ICCV 2025arXiv:2506.22027
6
citations

Gaussian Splatting for Efficient Satellite Image Photogrammetry

Luca Savant Aira, Gabriele Facciolo, Thibaud Ehret

CVPR 2025arXiv:2412.13047
7
citations

GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction

Eya Cherif, Arthur Ouaknine, Luke Brown et al.

NEURIPS 2025arXiv:2507.06806
1
citations

Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling

Fengxiang Wang, Hongzhen Wang, Di Wang et al.

ICCV 2025arXiv:2406.11933
11
citations

Online Feedback Efficient Active Target Discovery in Partially Observable Environments

Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik

NEURIPS 2025arXiv:2505.06535
1
citations

Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer

Yuansheng Li, Yunhao Zou, Linwei Chen et al.

ICCV 2025arXiv:2506.21880

Physics-informed Neural Operator for Pansharpening

Xinyang Liu, Junming Hou, Chenxu Wu et al.

NEURIPS 2025

WildSAT: Learning Satellite Image Representations from Wildlife Observations

Rangel Daroya, Elijah Cole, Oisin Mac Aodha et al.

ICCV 2025arXiv:2412.14428
10
citations

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions

Minh Quan Le, Alexandros Graikos, Srikar Yellapragada et al.

ECCV 2024arXiv:2407.14709
12
citations

Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring

Sizhuo Li, Dimitri Gominski, Martin Brandt et al.

ECCV 2024arXiv:2405.00514