JPL Technical Report Server
Learning classifiers for science event detection in remote sensing imagery
Login
JPL TRS Home
→
JPL Technical Report Server
→
JPL TRS 1992+
→
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Learning classifiers for science event detection in remote sensing imagery
Castano, Rebecca
;
Mazzoni, Dominic
;
Tang, Nghia
;
Doggett, Thomas
;
Chien, Steve
;
Greeley, Ronald
;
Cichy, Ben
;
Davies, Ashley
URI:
http://hdl.handle.net/2014/37464
Date:
2005-09
Keywords:
onboard data analysis; autonomy; SVM; machine learning
Publisher:
Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005.
Citation:
iSAIRAS, Munich, Germany, September 2005.
Abstract:
We describe four pixel-based classifers that were developed to identify events in hyperspectral data onboard a spacecraft.
Show full item record
Items in TRS are protected by copyright, but are furnished with U.S. government purpose use rights.
Files in this item
Name:
05-2146.pdf
Size:
305.7Kb
Format:
PDF
View/
Open
This item appears in the following Collection(s)
JPL TRS 1992+
JPL TRS 1992+
Search
Search
This Collection
Browse
All Content
Communities & Collections
By Issue Date
Authors
Titles
Subjects
This Collection
By Issue Date
Authors
Titles
Subjects
My Account
Login
Register