On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery

On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery

A critical obstacle to achieve semantic segmentation of remote sensing images by the deep convolutional neural network is the requirement of huge pixel-level labels. Taking building extraction as an example, this study focuses on how to effectively apply weakly supervised semantic segmentation (WSSS...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors: Zhenshi Li, Xueliang Zhang, Pengfeng Xiao, Zixian Zheng
Format: Article
Sprog:English
Udgivet: IEEE 2021-01-01
Serier:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:
Building extraction
fully convolutional network
high-resolution remote sensing imagery
weakly supervised semantic segmentation (WSSS)
Online adgang:https://ieeexplore.ieee.org/document/9369835/

Internet

https://ieeexplore.ieee.org/document/9369835/

Lignende værker