Mean-shift Segmentation Parameters Estimator (MSPE): A new tool for Very High Spatial Resolution satellite images

Autor:	Naoufal Raissouni, Omar Benarchid
Rok vydání:	2014
Předmět:	Image texture Computer science Segmentation-based object categorization business.industry Region growing Scale-space segmentation Estimator Segmentation Pattern recognition Image segmentation Artificial intelligence business Selection (genetic algorithm)
Zdroj:	ICMCS
DOI:	10.1109/icmcs.2014.6911184
Popis:	In this research we propose a new tool, called Mean-shift Segmentation Parameters Estimator (MSPE), to automate the selection of segmentation parameter values. Our algorithm is based on Mean-shift segmentation. However, this algorithm needs as inputs: i) existing vector database and ii) spectral data to define automatically the segmentation parameter values. The proposed method has been applied on different landscape's types (Urban, and Rural). The results obtained show accurate results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::259d29401efeccc0115edf5aee00fb08 https://doi.org/10.1109/icmcs.2014.6911184 Zobrazit plný text záznamu