Concepedia

Object-based Crop Classification

Object-Based Crop Classification is a remote sensing image analysis approach that categorizes land cover into crop types by first segmenting the image into homogeneous regions (objects) based on spectral, spatial, and textural characteristics, and then classifying these objects using contextual and geometrical attributes distinct from pixel-based methods.

85

Publications

7.5K

Citations

333

Authors

152

Institutions

Publications per year

2017–2026

54

Variants

Object-based Crop Mapping

Parents

Publications

85

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

Dennis C. Duro, Steven E. Franklin, Monique G. Dubé · Remote Sensing of Environment · 2011 · 973 citations

, , +16

Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

Mariana Belgiu, Ovidiu Csillik · Remote Sensing of Environment · 2017 · 890 citations · Full text

, , +15

Object-based crop identification using multiple vegetation indices, textural features and crop phenology

José M. Peña, Moffatt K. Ngugi, Richard E. Plant et al. · Remote Sensing of Environment · 2011 · 624 citations

, , +16

An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops

Jorge Torres‐Sánchez, Francisca López Granados, José M. Peña · Computers and Electronics in Agriculture · 2015 · 296 citations

, , +16

Object Based Image Analysis and Data Mining applied to a remotely sensed Landsat time-series to map sugarcane over large areas

Matheus Alves Vieira, Antônio Roberto Formaggio, Camilo Daleles Rennó et al. · Remote Sensing of Environment · 2012 · 241 citations

, , +17

1–5 of 85

Authors

333

  1. HL
    Huapeng Li

    Northeast Institute of Geography and Agroecology, China

    4 publications · 104 citations

    4

    h-index

  2. CZ
    Ce Zhang

    Lancaster University, United Kingdom

    4 publications · 104 citations

    4

    h-index

  3. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    4 publications · 104 citations

    4

    h-index

  4. SZ
    Shuqing Zhang

    Northeast Institute of Geography and Agroecology, China

    3 publications · 75 citations

    3

    h-index

  5. MÁ
    Manuel Á. Aguilar

    University of Almería, Spain

    3 publications · 272 citations

    3

    h-index

1–5 of 333

Institutions

152

  1. Chinese Academy of Sciences

    Beijing, China

    11 h-index

    32 publications

    1.5K citations

  2. Institute of Remote Sensing and Digital Earth

    Beijing, China

    9 h-index

    30 publications

    2K citations

  3. State Key Laboratory of Remote Sensing Science

    Beijing, China

    6 h-index

    18 publications

    894 citations

  4. University of Chinese Academy of Sciences

    Beijing, China

    5 h-index

    9 publications

    385 citations

  5. Northeast Institute of Geography and Agroecology

    Changchun, China

    5 h-index

    14 publications

    647 citations

  6. Chinese Academy of Agricultural Sciences

    Beijing, China

    4 h-index

    29 publications

    1K citations

  7. Lancaster University

    Lancaster, United Kingdom

    4 h-index

    8 publications

    208 citations

  8. Institute of Agricultural Resources and Regional Planning

    Beijing, China

    3 h-index

    17 publications

    810 citations

1–8 of 152

Venues

  1. Remote Sensing

    27 publications · 2K citations

    23

    h-index

  2. Remote Sensing of Environment

    6 publications · 3K citations

    6

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. International Journal of Remote Sensing

    4 publications · 170 citations

    4

    h-index

1–5