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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation

Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation

Chang, Chein-I

Hardcover

Technology & EngineeringGeneral ComputersProgramming

ISBN10: 3319451707
ISBN13: 9783319451701
Publisher: Springer
Published: May 4 2017
Pages: 690
Weight: 0.26
Height: 1.70 Width: 6.55 Depth: 9.60
Language: English

This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author's books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.

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