Next Article in Journal
Detecting Proteins in Highly Autofluorescent Cells Using Quantum Dot Antibody Conjugates
Next Article in Special Issue
Vehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System
Previous Article in Journal / Special Issue
A Wavelet Neural Network for SAR Image Segmentation
Article Menu

Export Article

Open AccessArticle
Sensors 2009, 9(9), 7516-7539; doi:10.3390/s90907516

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

1
School of Information Science and Engineering, Southeast University, Nanjing 210009, China
2
Signal-Image-Parole Laboratory, Department of Computer Science, University of Science and Technology – Oran, Oran, Algeria
*
Author to whom correspondence should be addressed.
Received: 12 June 2009 / Revised: 2 September 2009 / Accepted: 16 September 2009 / Published: 23 September 2009
(This article belongs to the Special Issue Neural Networks and Sensors)

Abstract

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 performance. Principle component analysis (PCA) was chosen to reduce feature dimensions, random division to reduce the number of neurons, and Brent’s search (BS) to find the optimal bias values. The results on San Francisco and Flevoland sites are compared to that using a 3-layer BPNN to demonstrate the validity of our algorithm in terms of confusion matrix and overall accuracy. In addition, the importance of each improvement of the algorithm was proven.
Keywords: polarimetric SAR; Probabilistic neural network; gray-level co-occurrence matrix; principle component analysis; Brent’s Search polarimetric SAR; Probabilistic neural network; gray-level co-occurrence matrix; principle component analysis; Brent’s Search
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, Y.; Wu, L.; Neggaz, N.; Wang, S.; Wei, G. Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network. Sensors 2009, 9, 7516-7539.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top