Sensors 2009, 9(9), 7132-7149; doi:10.3390/s90907132
Article

Image-Based Airborne Sensors: A Combined Approach for Spectral Signatures Classification through Deterministic Simulated Annealing

1 Ingeniería Técnica en Informática de Sistemas, Centro Superior de Estudios Felipe II, 28300 Aranjuez, Madrid, Spain 2 Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad Informática, Universidad Complutense, 28040 Madrid, Spain
* Authors to whom correspondence should be addressed.
Received: 31 July 2009; in revised form: 19 August 2009 / Accepted: 3 September 2009 / Published: 8 September 2009
(This article belongs to the Special Issue Neural Networks and Sensors)
PDF Full-text Download PDF Full-Text [380 KB, uploaded 8 September 2009 09:16 CEST]
Abstract: The increasing technology of high-resolution image airborne sensors, including those on board Unmanned Aerial Vehicles, demands automatic solutions for processing, either on-line or off-line, the huge amountds of image data sensed during the flights. The classification of natural spectral signatures in images is one potential application. The actual tendency in classification is oriented towards the combination of simple classifiers. In this paper we propose a combined strategy based on the Deterministic Simulated Annealing (DSA) framework. The simple classifiers used are the well tested supervised parametric Bayesian estimator and the Fuzzy Clustering. The DSA is an optimization approach, which minimizes an energy function. The main contribution of DSA is its ability to avoid local minima during the optimization process thanks to the annealing scheme. It outperforms simple classifiers used for the combination and some combined strategies, including a scheme based on the fuzzy cognitive maps and an optimization approach based on the Hopfield neural network paradigm.
Keywords: deterministic simulated annealing; image-based airborne sensors; classifier combination; fuzzy classifier; Bayesian classifier; unsupervised; spectral signatures classification

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Guijarro, M.; Pajares, G.; Herrera, P.J. Image-Based Airborne Sensors: A Combined Approach for Spectral Signatures Classification through Deterministic Simulated Annealing. Sensors 2009, 9, 7132-7149.

AMA Style

Guijarro M, Pajares G, Herrera PJ. Image-Based Airborne Sensors: A Combined Approach for Spectral Signatures Classification through Deterministic Simulated Annealing. Sensors. 2009; 9(9):7132-7149.

Chicago/Turabian Style

Guijarro, María; Pajares, Gonzalo; Herrera, P. J. 2009. "Image-Based Airborne Sensors: A Combined Approach for Spectral Signatures Classification through Deterministic Simulated Annealing." Sensors 9, no. 9: 7132-7149.

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