Abstract
In this chapter, we evaluate the performance of various classification models to identify the most favorable feature vectors for our extended and compact objects. We will show that there is no single “optimal” feature vector but a set of “most favorable” feature vectors associated with various classifiers for both the extend and compact object classes. Moreover, the most favorable feature vectors are those that contain contributions from all the feature types – meteorological, micro, and macro.
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(2009). Thermal Feature Selection. In: Mobile Robot Navigation with Intelligent Infrared Image Interpretation. Springer, London. https://doi.org/10.1007/978-1-84882-509-3_4
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DOI: https://doi.org/10.1007/978-1-84882-509-3_4
Publisher Name: Springer, London
Print ISBN: 978-1-84882-508-6
Online ISBN: 978-1-84882-509-3
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