Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Improved Feature Extraction, Feature Selection, And Identification Techniques That Create A Fast Unsupervised Hyperspectral Target Detection AlgorithmISBN13:9781249831938ISBN10:1249831938Author:Johnson, Robert J. (Author)Description:This Research Extends The Emerging Field Of Hyperspectral Image (Hsi) Target Detectors That Assume A Global Linear Mixture Model (Lmm) Of Hsi And Employ Independent Component Analysis (Ica) To Unmix Hsi Images Via New Techniques To Fully Automate Feature Extraction, Feature Selection, And Target Pixel Identification, An Autonomous Global Anomaly Detector, Autogad, Has Been Developed For Potential Employment In An Operational Environment For Real-Time Processing Of Hsi Targets For Dimensionality Reduction (Initial Feature Extraction Prior To Ica), A Geometric Solution That Effectively Approximates The Number Of Distinct Spectral Signals Is Presented Binding:Paperback, PaperbackPublisher:BiblioscholarPublication Date:2012-10-17Weight:0.99 lbsDimensions:0.52'' H x 9.69'' L x 7.44'' WNumber of Pages:248Language:English
Price: 56.52 USD
Location: USA
End Time: 2024-11-22T02:22:32.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Improved Feature Extraction, Feature Selection, And Identifi...
Item Length: 9.7in.
Item Height: 0.5in.
Item Width: 7.4in.
Author: Robert J. Johnson
Publication Name: Improved Feature Extraction, Feature Selection, and Identification Techniques That Create a Fast Unsupervised Hyperspectral Target Detection Algorithm
Format: Trade Paperback
Language: English
Publisher: Creative Media Partners
Publication Year: 2012
Type: Textbook
Item Weight: 16 Oz
Number of Pages: 248 Pages
