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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Autores principales: Shiyu Luo, Kamal Sarabandi, Ling Tong, Leland Pierce
Formato: article
Lenguaje:EN
Publicado: IEEE 2019
Materias:
FOA
Acceso en línea:https://doaj.org/article/6174aab3b64340b9b6283a7aaa8914a4
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