activity
20142024
most citedAn Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery

185 citations · 667 across the 14 of their papers we have counts for

collaborators

14 papers

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.CV2022★ 50 cited

Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching

Jiaqing Zhang, Jie Lei, Weiying Xie +2

Considering the computation complexity, we propose a Guided Hybrid Quantization with One-to-one Self-Teaching (GHOST}) framework. More concretely, we first design a structure calle…

cs.CV2022★ 1 cited

Pair-Relationship Modeling for Latent Fingerprint Recognition

Yanming Zhu, Xuefei Yin, Xiuping Jia +1

Latent fingerprints are important for identifying criminal suspects. However, recognizing a latent fingerprint in a collection of reference fingerprints remains a challenge. Most,…

cs.CV2022★ 2 cited

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

Xin-Ru Feng, Heng-Chao Li, Rui Wang +3

Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI). Nonnegative matrix fa…

eess.IV2022★ 124 cited

Dual-Stage Approach Toward Hyperspectral Image Super-Resolution

Qiang Li, Yuan Yuan, Xiuping Jia +1

Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution. Without reducing the spectral resolution, improving the resolution in the spatial doma…

eess.IV2021★ 1 cited

Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution

Meng Xu, Zhihao Wang, Jiasong Zhu +2

Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-re…