Idioma:

The benchmark datasets for Multi-class Change Detection (MCD)

Zhu, Qiqi ; Guo, Xi ; Ziqi Li ; Deren Li

Texto completo disponível

Citações Citado por

Título:
The benchmark datasets for Multi-class Change Detection (MCD)
Autor: Zhu, Qiqi ; Guo, Xi ; Ziqi Li ; Deren Li
Assuntos: change detection ; multi-class change detection
Notas: RelationTypeNote: HasVersion -- 10.5281/zenodo.6809804
10.5281/zenodo.6809804
Descrição: Change detection (CD) provides a research basis for environmental monitoring, urban expansion and reconstruction as well as disaster assessment, by identifying the changes of ground objects in different time periods. Traditional CD focused on the binary change detection (BCD), focusing solely on the change and no-change regions. Due to the dynamic progress of earth observation satellite techniques, the spatial resolution of remote sensing images continues to increase, multi-class change detection (MCD) which can reflect more detailed land change has become a hot research direction in the field of CD. We have collected the current open source benchmark datasets in the MCD of remote sensing imagery , in order to facilitate the sharing of the latest research datasets in the MCD field. Users can access the relevant MCD datasets through the links in the files. Source: Q. Zhu, X. Guo, Ziqi Li, D. Li*, “A review of Multi-class Change Detection for Remote Sensing Imagery” Geo-spatial information science, 2022
Editor: Zenodo
Data de criação/publicação: 2022
Idioma: Inglês

Links

Voltar para lista de resultados