Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network

Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network

This paper proposes a hybrid classifier for polarimetric SAR images. The feature sets consist of span image, the H/A/α decomposition, and the GLCM-based texture features. Then, a probabilistic neural network (PNN) was adopted for classification, and a novel algorithm proposed to enhance its performa...

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Bibliographic Details
Main Authors: Lenan Wu, Nabil Neggaz, Shuihua Wang, Geng Wei, Yudong Zhang
Format: Article
Language:English
Published: MDPI AG 2009-09-01
Series:Sensors
Subjects:
polarimetric SAR
Probabilistic neural network
gray-level co-occurrence matrix
principle component analysis
Brent’s Search
Online Access:http://www.mdpi.com/1424-8220/9/9/7516/

Internet

http://www.mdpi.com/1424-8220/9/9/7516/

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