Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data
Author:
Affiliation:
1. Vision and Image Processing (VIP) Research Group, Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
Funder
Network of Centers of Excellence
Natural Sciences and Engineering Research Council of Canada
Canadian Ice Service
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10093952.pdf?arnumber=10093952
Reference64 articles.
1. Learning a classification model for segmentation
2. Unsupervised Change Detection in Polarimetric SAR Data With the Hotelling-Lawley Trace Statistic and Minimum-Error Thresholding
3. Large-Area Land Use and Land Cover Classification With Quad, Compact, and Dual Polarization SAR Data by PALSAR-2
4. Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic
5. A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
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