Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach-Reference-Cited by-同舟云学术

Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach

Published:2022-05-12 Issue:7 Volume:36 Page:512-535
ISSN:1748-0930
Container-title:International Journal of Mining, Reclamation and Environment
language:en
Short-container-title:International Journal of Mining, Reclamation and Environment

Author:

Du Shouhang¹²^ORCID,Li Wei¹,Li Jun¹,Du Shihong³,Zhang Chengye¹,Sun Yaqin⁴

Affiliation:

1. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China

2. Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xu Zhou, China

3. Institute of Remote Sensing and GIS, Peking University, Beijing, China

4. Research Center for Territorial and Spatial Use Control, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing, China

Funder

Fundamental Research Funds for the Central Universities

Engineering Research Center of Ministry of Education for Mine Ecological Restoration

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Earth-Surface Processes,Geology,Geotechnical Engineering and Engineering Geology

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480930.2022.2072102

Reference38 articles.

1. Open-pit Mining Area Segmentation of Remote Sensing Images Based on DUSegNet

2. Semantic Unsupervised Change Detection of Natural Land Cover With Multitemporal Object-Based Analysis on SAR Images