Quantitative Evaluation of the Feature Space Transformation Methods Used for Applications of Visual Semantic Clustering of EO Images

Data visualization guides the process of indexing and retrieval, strengthening the link between low-level image features and high-level human understanding of image content. In this regard, we have described the semantic content of a multidimensional dataset using its descriptors to derive high-dime...

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מידע ביבליוגרפי

Principais autores:	Andreea Griparis, Daniela Faur, Mihai Datcu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2017-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Dimensionality evaluation exploration multidimensional data reduction visualization
גישה מקוונת:	https://ieeexplore.ieee.org/document/7938605/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!