A SAR Image Classification Algorithm Based on Multi-Feature Polarimetric Parameters Using FOA and LS-SVM
This paper presents a Synthetic Aperture Radar (SAR) image classification algorithm based on multi-feature using Fruit Fly Optimization Algorithm (FOA) and Least Square Support Vector Machine (LS-SVM). First, pixel-based information derived from three elements of coherency matrix, six parameters obt...
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | https://doaj.org/article/6174aab3b64340b9b6283a7aaa8914a4 |
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