Multi-scale Feature Extraction

Multi-Scale Feature Extraction is a feature engineering technique that captures structural patterns at multiple spatial or temporal resolutions by differentially analyzing image data through a hierarchy of scales, thereby enabling the representation of both fine-grained and coarse-grained visual characteristics within a unified framework.

947

Publications

52K

Citations

3.9K

Authors

873

Institutions

Publications per year

2017–2026

815

Authors

3.9K

  1. MX
    Min Xia

    Nanjing University of Information Science and Technology, China

    9 publications · 504 citations

    9

    h-index

  2. LJ
    Licheng Jiao

    Xidian University, China

    6 publications · 318 citations

    6

    h-index

  3. HL
    Haifeng Lin

    Nanjing Forestry University, China

    5 publications · 260 citations

    5

    h-index

  4. JJ
    Junjun Jiang

    Harbin Institute of Technology, China

    4 publications · 121 citations

    4

    h-index

  5. MC
    Ming‐Ming Cheng

    Nankai University, China

    4 publications · 358 citations

    4

    h-index

1–5 of 3.9K

Venues

  1. Remote Sensing

    59 publications · 2.3K citations

    29

    h-index

  2. IEEE Access

    50 publications · 2.4K citations

    27

    h-index

  3. arXiv (Cornell University)

    Repository · 47 publications · 1.6K citations

    24

    h-index

  4. Sensors

    33 publications · 1.3K citations

    20

    h-index

  5. 18

    h-index

1–5