A framework for multi-sensor image segmentation using fuzzy collaborative clustering
Author:
Affiliation:
1. CSIRO Energy Kensington, WA, Australia
2. CSIRO Mineral Resources Kensington, WA, Australia
3. School of Mathematics BNU, Beijing, China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/22020586.2019.12073030
Reference8 articles.
1. Bhagat, V. S., 2012, Use of remote sensing techniques for robust digital detection of land: A review: Recent Patents on Space Technology, 2, 123-144.
2. Du, P., Liu, S., Gamba, P., Tan, K., and Xia, J., 2012, Fusion of difference images for change detection over urban areas: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 1076-1086.
3. Lu, D., Mausel, P., Brondízio, E., and Moran, E., 2004, Change detection techniques: International Journal of Remote Sensing, 25, 2365-2401.
4. Pedrycz, W., 2002, Collaborative fuzzy clustering: Pattern Recognition Letters, 23, 1675-1686.
5. Pedrycz, W., and Rai, P., 2008, Collaborative clustering with the use of Fuzzy C-Means and its quantification: Fuzzy Sets and Systems, 159, 2399-2427.
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