New Metrics to Evaluate Pattern Recognition in Remote Sensing Images

Autor:	Mohamed Naouai, Manel Kallel, Yosr Slama
Rok vydání:	2012
Předmět:	Remote sensing (archaeology) business.industry Computer science Order (business) Pattern recognition (psychology) Pattern recognition Artificial intelligence business Algorithms performance Remote sensing
Zdroj:	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642332746 CIARP
DOI:	10.1007/978-3-642-33275-3_82
Popis:	The continuous development of pattern recognition approaches increases the need for evaluation tools to quantify algorithms performance and establish precise inter-algorithm comparison. So far, few performance evaluating metrics in pattern recognition algorithms are known in the literature, especially in remote sensing images. In this paper, four metrics are proposed for this purpose. The advantages and drawbacks of these metrics are first described, then some experimentation results are the presented in order to validate our contribution.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::502759456b399ac6a0a2e13db42a1186 https://doi.org/10.1007/978-3-642-33275-3_82 Zobrazit plný text záznamu