Hyperspectral remote sensing provides dense spectral measurements that are indispensable for material-level Earth observation, yet the construction of a general-purpose hyperspectral foundation model remains difficult. Two bottlenecks are especially limiting. First, large hyperspectral corpora rarely provide high spati...
Li Pang, Xin-Qiao Wu, Jing Yao et al.· 0 citations
Crowdsourced imagery provides timely, fine-grained, street-level observations for disaster mapping, complementing conventional remote sensing imagery (RSI) during emergency response. However, such imagery is often unstructured, spatially ambiguous, and lacks reliable geographic metadata, making manual geolocalization a...
Wen-Ping Yin, Fabian Desuer, Zi-Qi Liu et al.· 0 citations
M2Heat is introduced, a physics-inspired framework that investigates multimodal fusion through the lens of heat conduction and indicates the potential of heat-conduction-guided neural operators for efficient and interpretable RS multimodal fusion.
Kan Wei, Jia-Hui Cui, Jing Yao et al.· 0 citations
The study demonstrates that adversarial robustness in SCD depends on the complete bitemporal prediction pathway rather than on an individual branch or backbone family, and provides a structured protocol for evaluating robustness in coupled bitemporal image analysis.
SimCRAFT, a model-agnostic framework that distills sophisticated RS orchestration capabilities into a compact 7B-scale model, contributes a competitive open-weights baseline for lightweight RS intelligence, enabling efficient autonomous deployment under resource-constrained or resource-conserving conditions.
Hao-Ran Wang, Jing Yao, Xu Yang et al.· 0 citations
Deep learning-based fusion of hyperspectral images (HSI) and LiDAR has achieved strong performance in multimodal remote sensing classification, but its success is heavily constrained by the high cost of pixel-wise annotation. In extremely label-scarce regimes, such as 2-5 labeled samples per class, conventional deep mo...
Yiyan Zhang, Hongmin Gao, Weiping Ding et al.· IEEE Transactions on Image P...· 0 citations
The automated sorting of shredded black plastics from end-of-life (EOF) industrial waste presents a significant challenge in recycling facilities, primarily due to the limitations of current sensing and analytical approaches. Existing studies predominantly rely on single-point contact-based mid-infrared spectroscopy or...
Elias Arbash, Andréa de Lima Ribeiro, Filipa Simões et al.· 0 citations
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