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20242026
most citedFoundation Models for Remote Sensing and Earth Observation: A Survey

7 citations · 8 across the 12 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

The Last Remote Sensing Model Built by Humans? Casting Any Earth Observation Task as Recursive Self-Improvement

Sijie Zhao, Zeqi Zhou, Heli Qi +6

Earth observation (EO) models are still built by hand. For each new task, experts design a training recipe and tune it against a benchmark. We show that this loop can be handed to…

cs.CV2026

EORestore-Agent: Fidelity-Guided Agentic Restoration of Remote Sensing Images with Composite Degradations

Heli Qi, Zeqi Zhou, Jingjun Yi +5

Remote sensing images often carry composite degradations, in which haze, cloud, noise, blur, low light, and low resolution coexist. Restoring them requires deciding which tool to a…

cs.CV2026

Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge

Hongruixuan Chen, He Huang, Haifeng Wang +19

Rapid post-disaster response requires timely, building-level information on whether structures remain intact, are damaged, or are destroyed. Post-event optical imagery, however, ma…

cs.CV2026

OpenEarth-Agent: From Tool Calling to Tool Creation for Open-Environment Earth Observation

Sijie Zhao, Feng Liu, Xueliang Zhang +11

Earth Observation (EO) is essential for perceiving dynamic land surface changes, yet deploying autonomous EO in open environments is hindered by the immense diversity of multi-sour…

cs.CV2026

Direction-aware 3D Large Multimodal Models

Quan Liu, Weihao Xuan, Junjue Wang +3

3D large multimodal models (3D LMMs) rely heavily on ego poses for enabling directional question-answering and spatial reasoning. However, most existing point cloud benchmarks cont…