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arXivRemote sensing

GeoCR: Learning a Generalist Cloud Removal Prior from Heterogeneous Observations

GeoCR learns a generalist cloud removal prior from heterogeneous observations, enabling direct inference and LoRA adaptation across diverse sensors without dataset-specific fine-tuning.

Jeonghyeok Do, Munchurl Kim

Published Sep 26, 2026 · 0 citations · ▲ 5 on Hugging Face · Code ★ 2

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medium 8/10
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NeurIPS 2026Beijing Institute of TechnologyTohokuHangzhou DianziRemote sensing

Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction

Shuqi Liu, Yingkai Zhang, Lin Gu, Tao Zhang and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ZhejiangRemote sensing

Euler-Mamba: Learning Resolution-Invariant State Evolution on Polar Manifolds for Asymmetric Pansharpening

Mengting Ma, Anqi Zhu, Yizhen Jiang, Chengfu Ding and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U CalgaryImperial College LondonUniveristy of WaterlooU WaterlooRemote sensing

FireMPC: A Multi-Source Pan-Canadian Wildfire Benchmark Revealing Spatiotemporal Generalization Gaps

Zhengsen Xu, Sibo Cheng, Lanying Wang, Aryan Sharma and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026beijing institute of technologyBeijing Institute of TechnologyShandongU MacauRemote sensing

In-Context Learning for Remote Sensing Vision: A Semantic-Aware Rotation-Robust Diffusion Framework

jing geng, Chuanlong Zhang, Jiayi Su, Wencheng Han

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SoutheastWuhanRemote sensing

PIU-CR: Physics-Informed Deep Unfolding Network with SAR-Optical Image Fusion for Cloud Removal

Gengque Fan, Han Xu, Junxi Li, Hao Zhang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Harbin Institute of TechnologyPeng Cheng LaboratoryHarbin Institute of TechnologyRemote sensing

Skipping Domain Shifts: Domain Memory Retention Enhanced Hyperspectral Single-Source Domain Generalization

Taiqin Chen, Hao Sha, Xiaochen Feng, Chunyu Chen and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026SpotlightNational University of Defense TBeijing University of Posts and U the Chinese Academy of ScienceChina University of Geosciences Institute of Microelectronics ofRemote sensing

GeoG2U-Bench: When Does Generation Help Understanding in Ultra-High-Resolution Remote Sensing?

Fengxiang Wang, Yueying Li, Mingshuo Chen, Boya Miao and 11 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026XidianXi'an University of ElectroRemote sensing

Query as a Resource: Activity-Cost Guided Remote Sensing Domain-Incremental Object Detection

Xi Yang, Zhengyu Yuan, De Cheng, Nannan Wang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Huazhong University of Science aHubeiWuhanRemote sensing

RaVF: Learning Radar Velocity Fields via Spatial-Doppler Guidance

SHENGPENG WANG, Lingzhen Li, Chunshen Li, Fei Xiao and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Planet Labs / CornellPlanet LabsPlanetCornellRemote sensing

Predicting the Needle in a Petabyte Scale Haystack: Open-Vocabulary Event Anticipation in Satellite Imagery

Lekha Revankar, Mikhail Klassen, creon levit, Ash Hoover and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026WuhanRemote sensing

View-Spectral Reconciliation Learning for Text-based Multispectral Aerial–Ground Person Re-Identification

Zhongao Zhou, Bin Yang, Yuxuan Zhao, Yudi Xie and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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88%Must read
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NeurIPS 2026Taylor GeospatialMicrosoft AI for Good Research LTechnical University of MunichMila & NASA HarvestCarletonRemote sensing

No One Knows the State-of-the-Art in Geospatial Foundation Models

Geospatial foundation model literature lacks standardized evaluation protocols, causing widespread cross-paper scoring discrepancies and unreleased weights, so six concrete community standards are proposed.

Isaac Corley, Caleb Robinson, Nils Lehmann, Gabriel Tseng and 5 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 27

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5
80%Must read
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NeurIPS 2026U Illinois Urbana-ChampaignU Illinois at Urbana-ChampaignU IllinoisU Illinois, Urbana ChampaignRemote sensing

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift

LESSViT enables robust cross-sensor hyperspectral representation via low-rank spatial-spectral attention, channel-agnostic embeddings, and masked pretraining with decoupled masking and hierarchical sampling.

Haozhe Si, Yuxuan Wan, Yuqing Wang, Minh Do and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
88%Must read
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NeurIPS 2026U Texas at AustinGoogleAmazonTechnion - Israel Institute of TU Maryland, College ParkRemote sensing

PolyTopoBench: A Benchmark for Complex Vector Polygon Generation from Remote Sensing Imagery

PolyTopoBench benchmarks vector polygon generation from remote sensing images, finding existing methods fail on complex multi-ring topologies with holes.

Zeping Liu, Ni Lao, Weiwei Sun, Gil Wolff and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5