MFFNet: a building change detection method based on fusion of spectral and geometric information

Author:

Guo Zhihao1,Pan Jianping123,Xie Peng1,Zhu Ling1,Qi Chen1,Wang Xunxun1,Yang Yihan1,Wang Yan1,Zhang Huijuan4,Ren Zhaohui4

Affiliation:

1. School of Smart City, Chongqing Jiaotong University, Chongqing, China

2. Ministry of Natural Resources, Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Chongqing, China

3. Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing, China

4. Geological Bureau of Ningxia Hui Autonomous Region, Ningxia, China

Funder

the Key R&D Program of Ningxia Autonomous Region: Ecological environment monitoring and platform development of ecological barrier protection system for Helan Mountain

Chongqing Graduate Joint Training Base Construction Project

Open Fund of Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources

Publisher

Informa UK Limited

Reference65 articles.

1. Multi-scale hierarchical sampling change detection using Random Forest for high-resolution satellite imagery

2. A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

3. Chaabouni-Chouayakh H Krauss T d‘Angelo P Reinartz P. 2010. 3D change detection inside urban areas using different digital surface models. Germany: Remote Sensing Technology Institute German Aerospace Center (DLR). https://elib.dlr.de/65901/1/ISPRSmy_paper.pdf.

4. Automatic urban area monitoring using digital surface models and shape features

5. Automatische 3D-Veränderungsanalyse in städtischen Gebieten durch die Kombination von Höhen und Form Information

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