Concepedia

Sparse Depth Interpolation

Sparse Depth Interpolation is a bathymetric modeling method that reconstructs continuous seafloor elevation surfaces from sparsely distributed depth measurements by leveraging spatial correlation and geometric constraints to infer unknown depths.

11

Publications

545

Citations

25

Authors

13

Institutions

Publications per year

2017–2026

5

Parents

Publications

11

Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China

Yue Sun, Shaozhong Kang, Fusheng Li et al. · Environmental Modelling & Software · 2009 · 226 citations

, , +6

3D modelling of leaves from color and ToF data for robotized plant measuring

Guillem Alenyà, Babette Dellen, Carme Torras · 2011 · 96 citations · Full text

, , +17

Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks

Ilya Makarov, Vladimir Aliev, Olga Gerasimova · 2017 · 40 citations

, , +15

Global Predicted Bathymetry Using Neural Networks

H. Harper, David T. Sandwell · Earth and Space Science · 2024 · 39 citations · Full text

, , +17

Fast Semi-dense Depth Map Estimation

Ilya Makarov, Alisa Korinevskaya, Vladimir Aliev · 2018 · 26 citations

, , +16

1–5 of 11

Authors

25

  1. IM
    Ilya Makarov

    National Research University Higher School of Economics, Russia

    3 publications · 91 citations

    3

    h-index

  2. VA
    Vladimir Aliev

    National Research University Higher School of Economics, Russia

    3 publications · 91 citations

    3

    h-index

  3. AK
    Alisa Korinevskaya

    National Research University Higher School of Economics, Russia

    2 publications · 51 citations

    2

    h-index

  4. HH
    H. Harper

    University of California San Diego, United States

    1 publications · 39 citations

    1

    h-index

  5. JG
    John G. Harris

    University of Florida, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 25

Institutions

13

  1. National Research University Higher School of Economics

    Moscow, Russia

    3 h-index

    9 publications

    273 citations

  2. Scripps Institution of Oceanography

    La Jolla, United States

    1 h-index

    2 publications

    78 citations

  3. Beijing Jiaotong University

    Beijing, China

    1 h-index

    5 publications

    120 citations

  4. Columbia University

    New York, United States

    1 h-index

    2 publications

    20 citations

  5. University of California, Berkeley

    Berkeley, United States

    1 h-index

    2 publications

    34 citations

  6. California Institute of Technology

    Pasadena, United States

    1 h-index

    1 publications

    20 citations

  7. Guangxi University

    Nanning, China

    1 h-index

    1 publications

    226 citations

  8. Universitat Politècnica de Catalunya

    Barcelona, Spain

    1 h-index

    3 publications

    288 citations

1–8 of 13

Venues

  1. Perception

    1 publications · 22 citations

    1

    h-index

  2. Earth and Space Science

    1 publications · 39 citations

    1

    h-index

  3. Sensors

    1 publications · 24 citations

    1

    h-index

  4. Environmental Modelling & Software

    1 publications · 226 citations

    1

    h-index

  5. CaltechAUTHORS (California Institute of Technology)

    Repository · 1 publications · 20 citations

    1

    h-index

1–5