Hyperspectral data characterization for object detection applications

Show full item record

Title: Hyperspectral data characterization for object detection applications
Author: Kerekes, John; Siracusa, Christina; Orloff, Seth; Manolakis, Dimitris; Shaw, Gary; Biehl, Larry
Abstract: Hyperspectral imaging (HSI) electro-optical sensors, with their hundreds of contiguous spectral bands, are a rich data source useful in a variety of applications. Numerous examples have demonstrated their potential. Understanding the characteristics of HSI data is important not only for algorithm design and assessment, but also for accurate modeling in a performance prediction context. Initial results are presented from an investigation exploring the applicability of characterizing the data with the first and second spectral statistical moments.
Description: Note: due to a production error, this paper did not appear in the conference proceedings, but was presented at the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, 24-28 July 2000.
Record URI: http://hdl.handle.net/1850/4319
Date: 2000-07-24

Files in this item

Files Size Format View
JKerekesArticle07-24-2004.pdf 101.5Kb PDF View/Open

The following license files are associated with this item:

This item appears in the following Collection(s)

Show full item record

Search RIT DML


Advanced Search

Browse