activity
20232026
most citedLearning a Cross-modality Anomaly Detector for Remote Sensing Imagery

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2026★ 1 cited

Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation

Zhaozhi Luo, Janne Heiskanen, Ilja Vuorinne +6

The beekeeping sector holds significant potential for livelihood diversification among the agropastoral communities in Kenya. Melliferous tree species play a critical role by provi…

cs.CV2025

HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery

Jingtao Li, Yingyi Liu, Xinyu Wang +9

Advanced interpretation of hyperspectral remote sensing images benefits many precise Earth observation tasks. Recently, visual foundation models have promoted the remote sensing in…

cs.CV2025

HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments

Hengwei Zhao, Xinyu Wang, Zhuo Zheng +2

Hyperspectral image (HSI) open-set classification is critical for HSI classification models deployed in real-world environments, where classifiers must simultaneously classify know…

cs.CV2024

Reverse Refinement Network for Narrow Rural Road Detection in High-Resolution Satellite Imagery

Ningjing Wang, Xinyu Wang, Yang Pan +2

The automated extraction of rural roads is pivotal for rural development and transportation planning, serving as a cornerstone for socio-economic progress. Current research primari…

cs.CV2024

AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations

Jingtao Li, Qian Zhu, Xinyu Wang +2

Various Earth anomalies have destroyed the stable, balanced state, resulting in fatalities and serious destruction of property. With the advantages of large-scale and precise obser…

cs.CV2023★ 2 cited

Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery

Jingtao Li, Xinyu Wang, Hengwei Zhao +2

Remote sensing anomaly detector can find the objects deviating from the background as potential targets for Earth monitoring. Given the diversity in earth anomaly types, designing…