Next Article in Journal
Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries
Previous Article in Journal
Validation of a Phase-Mass Characterization Concept and Interface for Acoustic Biosensors
Sensors 2011, 11(5), 4721-4743; doi:10.3390/s110504721
Article

Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization

 and *
Received: 10 March 2011; in revised form: 24 April 2011 / Accepted: 26 April 2011 / Published: 2 May 2011
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4841 KB, uploaded 21 June 2014]   |   Browse Figures
Abstract: This paper proposes a hybrid crop classifier for polarimetric synthetic aperture radar (SAR) images. The feature sets consisted of span image, the H/A/α decomposition, and the gray-level co-occurrence matrix (GLCM) based texture features. Then, the features were reduced by principle component analysis (PCA). Finally, a two-hidden-layer forward neural network (NN) was constructed and trained by adaptive chaotic particle swarm optimization (ACPSO). K-fold cross validation was employed to enhance generation. The experimental results on Flevoland sites demonstrate the superiority of ACPSO to back-propagation (BP), adaptive BP (ABP), momentum BP (MBP), Particle Swarm Optimization (PSO), and Resilient back-propagation (RPROP) methods. Moreover, the computation time for each pixel is only 1.08 × 10−7 s.
Keywords: artificial neural network; synthetic aperture radar; principle component analysis; particle swarm optimization artificial neural network; synthetic aperture radar; principle component analysis; particle swarm optimization
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Zhang, Y.; Wu, L. Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization. Sensors 2011, 11, 4721-4743.

AMA Style

Zhang Y, Wu L. Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization. Sensors. 2011; 11(5):4721-4743.

Chicago/Turabian Style

Zhang, Yudong; Wu, Lenan. 2011. "Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization." Sensors 11, no. 5: 4721-4743.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert