A fast separability-based feature-selection method for high-dimensional remotely sensed image classification

Title
A fast separability-based feature-selection method for high-dimensional remotely sensed image classification
Authors
Keywords
-
Journal
PATTERN RECOGNITION
Volume 41, Issue 5, Pages 1653-1662
Publisher
Elsevier BV
Online
2007-11-27
DOI
10.1016/j.patcog.2007.11.007

Ask authors/readers for more resources

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started