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20232026
most citedSMamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification

75 citations · 84 across the 5 of their papers we have counts for

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cs.CV2026

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation

Guanchun Wang, Chenxiao Wu, Xiangrong Zhang +4

Open-vocabulary semantic segmentation (OVSS) in remote sensing images is a promising task that employs textual descriptions for identifying undefined land cover categories. Despite…

cs.CV2025★ 4 cited

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model

Guanchun Wang, Xiangrong Zhang, Yifei Zhang +4

Unsupervised anomaly detection in hyperspectral images (HSI), aiming to detect unknown targets from backgrounds, is challenging for earth surface monitoring. However, current studi…

cs.CV2025

DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensing

Jinyue Zhang, Xiangrong Zhang, Zhongjian Huang +3

Moving object detection (MOD) in remote sensing is significantly challenged by low resolution, extremely small object sizes, and complex noise interference. Current deep learning-b…

cs.CV2024★ 75 cited

SMamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification

Guanchun Wang, Xiangrong Zhang, Zelin Peng +2

Land cover analysis using hyperspectral images (HSI) remains an open problem due to their low spatial resolution and complex spectral information. Recent studies are primarily dedi…

cs.CV2023★ 5 cited

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

Xiangrong Zhang, Tianyang Zhang, Guanchun Wang +4

Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep le…