SAR image registration based on KECA-SAR-SIFT operator
Author:
Affiliation:
1. School of Electronics and Communication Engineering, Sun Yat-sen University,Shenzhen,P.R.China
2. School of Systems Science and Engineering, Sun Yat-sen University,Shenzhen,P.R.China
Funder
National Natural Science Foundation of China
Key-Area Research and Development Program of Guangdong Province
Shenzhen Basic Research Project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9950049/9948458/09950203.pdf?arnumber=9950203
Reference16 articles.
1. Exponentially weighted moving average chart with a likelihood ratio test for monitoring autocorrelated processes
2. Parallel PCA–KPCA for nonlinear process monitoring
3. Fault detection for centrifugal chillers using a Kernel Entropy Component Analysis (KECA) method[C]//Building Simulation;xia;Tsinghua University Press,2021
4. A Review of Point Feature Based Medical Image Registration
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