#remote sensing

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13 papers match

cs.CV2026

Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis

Ilya Novikov, Svetlana Illarionova, Ruslan Dzharkinov +6

The paper proposes an end‑to‑end multimodal deep‑learning framework that combines SAR, multispectral and elevation data to detect flood water surfaces and assess damage across larg…

#flood monitoring#remote sensing#multimodal data#satellite imagery
cs.CV2026

CoRE-UIR: Prior-guided common and residual experts for efficient all-in-one remote sensing image restoration

Zaiyan Zhang, Qiangqiang Yuan, Jie Li +5

The paper introduces CoRE-UIR, a prior‑guided framework that separates restoration into a common dense expert and low‑rank residual experts to efficiently handle multiple degradati…

#remote sensing#image restoration#all‑in‑one restoration#degradation prior
cs.CV2026

Think with Extra-Image: A Farmland Segmentation Agent Driven by Spatio-Temporal Information Gain

Haiyang Wu, Weiliang Mu, Zhuofei Du +4

The paper introduces FarmSeeker, a dynamic segmentation agent that detects ambiguous farmland regions in remote sensing images and queries additional spatio‑temporal data to improv…

#farmland segmentation#remote sensing#spatio-temporal reasoning#information gain
cs.CV2026

FootprintNet: State-Transition-Guided Dynamic Footprint Learning for Multi-temporal Remote Sensing Change Detection

Haotian Zhang, Hao Chen, Han Guo +2

The paper introduces FootprintNet, a deep learning framework that detects and classifies dynamic building-change footprints over time in multi-temporal remote sensing images by mod…

#change detection#remote sensing#building dynamics#temporal modeling
cs.CV2026

Post-Disaster Affected Area Segmentation with a Vision Transformer (ViT)-based EVAP Model using Sentinel-2 and Formosat-5 Imagery

Yi-Shan Chu, Hsuan-Cheng Wei

The paper presents a vision‑transformer based framework that expands a small set of manually labeled disaster areas using PCA and a confidence index, then trains encoder‑decoder mo…

#disaster mapping#vision transformer#weakly supervised segmentation#satellite imagery
cs.AI2026

NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing

Ming Yang, Zhi Zhou, Shi-Yu Tian +3

NeSy-Route is a large-scale neuro‑symbolic benchmark that provides automatically generated, constrained route‑planning tasks for remote‑sensing images, together with optimal soluti…

#remote sensing#route planning#neuro-symbolic AI#benchmark
cs.CV2026

Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification

Alaa Almouradi, Erchan Aptoula

The paper introduces a label‑decoupled style augmentation method that perturbs feature statistics only within label‑specific regions to improve domain generalization for multi‑labe…

#domain generalization#multi-label classification#remote sensing#style augmentation
cs.CV2026

PlumeQuant: Uncertainty-aware consistency assessment of methane plume masks and emission-rate estimates

Parisa Masnadi Khiabani, Wolfgang Jentner, Alireza Rangrazjeddi +4

The paper presents PlumeQuant, a framework that quantifies uncertainty and consistency of methane plume masks and derived emission rates by generating alternative plausible masks w…

#methane plume detection#mask uncertainty quantification#genetic algorithm ensembles#remote sensing
physics.hist-ph2026

The orientation of the Amazonian geoglyphs as a clue for their interpretation

Giulio Magli

The paper uses remote sensing and archaeoastronomy to analyze the orientations of 326 Amazonian earthwork geoglyphs, finding that their alignments are non‑random and reflect a deli…

#archaeoastronomy#geoglyph orientation#remote sensing#Amazonian earthworks
physics.optics2026

Selective avoidance of multiple line-of-sight obstacles at 130~m using locally bending space-time wave packets

Layton A. Hall, Murat Yessenov, Isabelle Lebron +1

The paper demonstrates pulsed space‑time wave packets whose spatiotemporal spectrum is engineered to locally bend around one or multiple line‑of‑sight obstacles, allowing the beam…

#self-accelerating beams#space-time wave packets#obstacle avoidance#remote sensing
cs.CV2026

TerraLogic: A Benchmark for Hierarchical Geospatial Reasoning in Earth Observation

Yuhang Yan, Linchao Mou, Bokang Yang +1

The paper introduces TerraLogic, a benchmark of 545 hierarchical geospatial reasoning tasks for remote sensing, and presents HieraPlan, a tool-augmented agent that organizes toolki…

#geospatial reasoning#remote sensing#benchmark#tool-augmented agents
cs.CV2026

A Novel Method to Evaluate Models on Unreliable, Noisy and Inconsistent Labels: Adaptive Resolution Label Aggregation (ARLA)

Natasha Randall, Gernot Heisenberg

The paper proposes Adaptive Resolution Label Aggregation (ARLA), a technique that dynamically adjusts the resolution of labels and model predictions during inference to more accura…

#segmentation evaluation#noisy labels#label aggregation#adaptive resolution
astro-ph.SR2026

Potential Solar Precursors to Magnetic Switchbacks

Durgesh Tripathi, Maria S. Madjarska, Judy Karpen +9

The paper reviews how large‑scale coronal dynamics and small‑scale solar atmospheric events could act as precursors to the magnetic switchbacks observed by the Parker Solar Probe,…

#magnetic switchbacks#solar wind#coronal dynamics#small-scale solar events

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