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

For the image segmentation task, deep features‐based deep learning methods have strict data requirements on the quality and quantity, which limits their application in irregular scenes, such as the villages subjected to geological hazards in the complex mountains. However, traditional algorithms wit...

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Bibliographic Details

Published in:	Earth and space science (Hoboken, N.J.) Vol. 8; no. 8
Main Authors:	Liu, Yang, Liu, Shuang, Xu, Jingwen, Wang, Yan, Tan, Guilin, Li, Dongyu, Fan, Bowei
Format:	Journal Article
Language:	English
Published:	Hoboken John Wiley & Sons, Inc 01.08.2021 American Geophysical Union (AGU)
Subjects:	Accuracy Algorithms building segmentation Buildings Clustering Deep learning Geological hazards Methods Mountains Neural networks Remote sensing RGB component difference UAV remote sensing image Unmanned aerial vehicles
ISSN:	2333-5084, 2333-5084
Online Access:	Get full text
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