• No results found

Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

N/A
N/A
Protected

Academic year: 2020

Share "Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas"

Copied!
14
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 2: Information classes and training/test samples for the PaviaCenter data set.

References

Related documents

The Highmark Foundation Advancing Excellence in School Nursing Awards applauds those devoted school nurses who exhibit leadership and passion and work tirelessly to keep our

The first entry is the well-known duality between finite boolean algebras and finite sets, which restricts Birkhoff’s famous duality between finite distributive lattices with

 Designed a custom succession planning application as per business need which is integrated with Talent and Learning Management application.. Developed custom workflow and

To further our investigation we need to look at the code paths taken from the entry point to the completion of the specific task. Specifically we want to look at anything that

This study also indicates that trained teachers are significantly better than untrained teachers teaching mathematic to the students at primary level because their mean score

In addition to these modes, the 2002 and 2003 census surveys account for; (a) the introduction of government’s LRAD programme by distinguishing between transactions financed

With a . percent rate of increase in water usage and a mean annual precipitation of  cm, what would be the maximum population growth rate Tucson could support (with CAP water)

Correlation-based feature selection (CFS) has been set as the baseline attribute subset selection due to its popularity and high performance. Around hundred data sets have