๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis

โœ Scribed by Shailesh Kumar; Joydeep Ghosh; Melba M. Crawford


Publisher
Springer-Verlag
Year
2002
Tongue
English
Weight
191 KB
Volume
5
Category
Article
ISSN
1433-7541

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Improved classification of crystallizati
โœ Buchala, Samarasena ;Wilson, Julie C. ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› International Union of Crystallography ๐ŸŒ English โš– 558 KB

Identifying the conditions that will produce diffraction-quality crystals can require very many crystallization experiments. The use of robots has increased the number of experiments performed in most laboratories, while in structural genomics centres tens of thousands of experiments can be produced

Bayesian analysis for fusion of data fro
โœ G.D. Jones; R.E. Allsop; J.H. Gilby ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 224 KB

This paper investigates whether the segmentation of surveillance images can be improved by fusing low-spatial-resolution thermal data with high-spatial-resolution visual information. The context of this investigation is the surveillance of sterile zones where an alarm is required should a person ent

Classifying environments for sampling pu
โœ J.G. Paterson; N.A. Goodchild; W.J.R. Boyd ๐Ÿ“‚ Article ๐Ÿ“… 1978 ๐Ÿ› Elsevier Science โš– 682 KB

A method is described for specifying climatic variability using a principal component analysis of real and derived meteorological variables. Two vectors derived from the analysis delimited areas in Western Australia between which climatic differences were large relative to those within such areas. T