Standout Papers

A new look at IHS-like image fusion methods 2001 2026 2009 2017 596
  1. A new look at IHS-like image fusion methods (2001)
    Te‐Ming Tu, Hsuen-Chyun Shyu et al. Information Fusion

Immediate Impact

68 standout
Sub-graph 1 of 13

Citing Papers

Deep learning techniques for hyperspectral image analysis in agriculture: A review
2024 Standout
Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks
2023 Standout
2 intermediate papers

Works of Te‐Ming Tu being referenced

Best Tradeoff for High-Resolution Image Fusion to Preserve Spatial Details and Minimize Color Distortion
2007
Unsupervised signature extraction and separation in hyperspectral images: a noise-adjusted fast independent component analysis approach
2000

Author Peers

Author Last Decade Papers Cites
Te‐Ming Tu 855 627 10 104 27 1.1k
Shen‐En Qian 785 645 7 130 42 1.1k
Miguel A. Veganzones 877 594 18 72 22 1.1k
Kacem Chehdi 787 988 6 84 74 1.4k
Dong-Chen He 414 519 7 193 27 1.2k
Yifan Zhang 741 626 7 66 66 1.1k
Kai Zhang 721 528 2 55 57 990
Youcef Chibani 544 508 4 135 55 914
Tiecheng Song 525 579 9 50 47 1.1k
Xiaofeng Zhao 695 384 9 60 19 1.0k
Ping Huang 1020 811 2 86 29 1.3k

All Works

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2026