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20172026
most citedDeep Learning for Hyperspectral Image Classification: An Overview

1.9k citations · 6.2k across the 72 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.CV2026

HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing

Li Pang, Xinqiao Wu, Jing Yao +5

Hyperspectral remote sensing provides dense spectral measurements that are indispensable for material-level Earth observation, yet the construction of a general-purpose hyperspectr…

cs.CV2026

Decoding the Disaster: Multi-Task Geospatial Reasoning with Vision-Language Models and Crowdsourced Imagery for Disaster Mapping

Wenping Yin, Fabian Desuer, Ziqi Liu +5

Crowdsourced imagery provides timely, fine-grained, street-level observations for disaster mapping, complementing conventional remote sensing imagery (RSI) during emergency respons…

cs.CV2026

Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification

Kan Wei, Jiahui Cui, Jing Yao +3

The fusion of hyperspectral (HS) and Light Detection and Ranging (LiDAR) data plays a crucial role in enhancing land-cover classification by jointly exploiting spectral, spatial, a…

cs.AI2026

SimCRAFT: Distilling Remote Sensing Agents via Synthetic Trajectories and Contextual Retrieval-Augmented Fine-Tuning

Haoran Wang, Jing Yao, Xu Yang +4

The unprecedented surge in Earth observation data volume and diversity has exposed a critical bottleneck for traditional manual workflows, catalyzing the emergence of Remote Sensin…

cs.CV2026

MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning

Elias Arbash, Andréa de Lima Ribeiro, Filipa Simões +9

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…

cs.CV2026

On the Adversarial Robustness of Remote Sensing Semantic Change Detection

Weikang Yu, Yonghao Xu, Pedram Ghamisi

Semantic change detection (SCD) is a bitemporal dense-prediction task that jointly identifies changed regions and their semantic states before and after change. Unlike single-image…

cs.CV2026

ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding

Dongwei Sun, Jing Yao, Kan Wei +6

Rapid situational awareness is critical in post-disaster response. While remote sensing damage assessment is evolving from pixel-level change detection to high-level semantic analy…

cs.CV2026

Automated Road Crack Localization for Spatially Guided Highway Maintenance

Steffen Knoblauch, Ram Kumar Muthusamy, Pedram Ghamisi +1

Highway networks are crucial for economic prosperity. Climate change-induced temperature fluctuations are exacerbating stress on road pavements, resulting in elevated maintenance c…

cs.CV2026

Toward Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion

Yonghao Xu, Pedram Ghamisi, Qihao Weng

Recent years have witnessed the remarkable success of deep learning in remote sensing image interpretation, driven by the availability of large-scale benchmark datasets. However, t…