A New Clustering Algorithm Toward Building Segmentation From Aerial Images by Utilizing RGB‐Component Differences-Reference-Cited by-同舟云学术

A New Clustering Algorithm Toward Building Segmentation From Aerial Images by Utilizing RGB‐Component Differences

Published:2021-08 Issue:8 Volume:8 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth Space Sci

Author:

Liu Yang¹^ORCID,Liu Shuang²^ORCID,Xu Jingwen¹^ORCID,Wang Yan³,Tan Guilin⁴,Li Dongyu¹,Fan Bowei¹^ORCID

Affiliation:

1. College of Resources Sichuan Agricultural University Chengdu China

2. Key Laboratory of Mountain Hazards and Earth Surface Processes Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu China

3. State Key Laboratory of Hydrology‐Water Resources and Hydraulic Engineering Nanjing Hydraulic Research Institute Nanjing China

4. University of Electronic Science and Technology of China Chengdu China

Funder

Chinese Academy of Sciences

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020EA001571

Reference52 articles.

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2. Seeded region growing

3. Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery

4. FCM: The fuzzy c-means clustering algorithm

5. Thresholding of digital images using two-dimensional entropies

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