Comparison of four machine learning methods for object-oriented change detection in high-resolution satellite imagery

Ting Bai, Kaimin Sun, Shiquan Deng, Yan Chen. Comparison of four machine learning methods for object-oriented change detection in high-resolution satellite imagery. In Nong Sang, Jie Ma, Zhong Chen, editors, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), Xiangyang, China, 28-29 October 2017. Volume 10611 of SPIE Proceedings, SPIE, 2017. [doi]

@inproceedings{BaiSDC17,
  title = {Comparison of four machine learning methods for object-oriented change detection in high-resolution satellite imagery},
  author = {Ting Bai and Kaimin Sun and Shiquan Deng and Yan Chen},
  year = {2017},
  doi = {10.1117/12.2285493},
  url = {https://doi.org/10.1117/12.2285493},
  researchr = {https://researchr.org/publication/BaiSDC17},
  cites = {0},
  citedby = {0},
  booktitle = {MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), Xiangyang, China, 28-29 October 2017},
  editor = {Nong Sang and Jie Ma and Zhong Chen},
  volume = {10611},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510617254},
}