Sensors | |
Image-Based Airborne Sensors: A Combined Approach for Spectral Signatures Classification through Deterministic Simulated Annealing | |
Mar Guijarro2  Gonzalo Pajares1  | |
[1] Departamento de Ingeniería del Software e Inteligencia Artificial, Facultad Informática, Universidad Complutense, 28040 Madrid, Spain; E-Mail:;Ingeniería Técnica en Informática de Sistemas, Centro Superior de Estudios Felipe II, 28300 Aranjuez, Madrid, Spain | |
关键词: deterministic simulated annealing; image-based airborne sensors; classifier combination; fuzzy classifier; Bayesian classifier; unsupervised; spectral signatures classification; | |
DOI : 10.3390/s90907132 | |
来源: mdpi | |
【 摘 要 】
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 (
【 授权许可】
CC BY
© 2009 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190056205ZK.pdf | 380KB | download |