Hyperspectral and multispectral image fusion requires enhancing spatial details while preserving the pixel-wise spectral fidelity of hyperspectral observations. Transformer-based approaches provide effective contextual modeling, yet hierarchical token merging may cause spectral mixing, whereas pixel-preserving tokeniza...
Ming-Ming Ma, Zheng-Zhong Fang, Pei-Xian He et al.· Remote Sensing· 0 citations
Unmanned aerial vehicles (UAVs) are increasingly utilized across military, civilian, and agricultural sectors, necessitating accurate and efficient 3D target localization. Traditional 2D detectors lack depth perception, while stereo vision and LiDAR have range-dependent and hardware limitations, respectively. To addres...
Yan-Xin Sun, Ming-Ming Ma, Lan-Yu Sun et al.· Electronics· 0 citations
Tree-VQ is proposed, a progressive tree-structured vector quantization framework for learned image compression that codes progressive continuation decisions and routed branch refinements using only causally available decoded contexts and achieves a superior performance--efficiency trade-off.
Xin-Kun Wang, Tian-Yi Xu, Qing-Yu Luo et al.· 0 citations
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