Using Multiple Robust Parameter Design Techniques to Improve Hyperspectral Anomaly Detection Algorithm Performance - Matthew T. Davis
-35% koodilla BOOKS
Toimitus 22-28 arkipäivässä
30 päivän palautusoikeus
Detecting and identifying objects of interest is the goal of all remote sensing. New advances, specifically in hyperspectral imaging technology have provided the analyst with immense amounts of data requiring evaluation. Several filtering techniques or anomaly detection algorithms have been proposed. However, most new algorithms are insuciently verified to be robust to the broad range of hyperspectral data ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Culture Map: Breaking Through the Invisible Boundaries of Global Business
-35% koodilla BOOKS
Varastossa
TOP
Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones
-35% koodilla BOOKS
Varastossa
TOP
The Nord Stream Conspiracy: The Inside Story of the Explosions That Shook the World
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Women Who Run with the Wolves: Myths and Stories of the Wild Woman Archetype
Clarissa Pinkola Estés, Clarissa Pinkola Estes
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Sapiens: A Brief History of Humankind
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
How Democracies Die
Steven Levitsky, Daniel Ziblatt
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Prisoners of Geography: Updated 10th Anniversary Edition: Ten Maps That Tell You Everything You Need To Know About Global Politics
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Classic Football Shirts
Classic Football Shirts, Rory Smith
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Whole-Brain Child: 12 Revolutionary Strategies to Nurture Your Child's Developing Mind
Daniel J. Siegel, Tina Payne Bryson
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Everything I Know About Love: Now a Major BBC One Series
-35% koodilla BOOKS
Varastossa
TOP
Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Unabridged Journals of Sylvia Plath
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
To Kill a Mockingbird. 60th Anniversary Edition
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Caliban and the Witch: Women, the Body and Primitive Accumulation
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Breaking Through: My Life in Science
-35% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
Detecting and identifying objects of interest is the goal of all remote sensing. New advances, specifically in hyperspectral imaging technology have provided the analyst with immense amounts of data requiring evaluation. Several filtering techniques or anomaly detection algorithms have been proposed. However, most new algorithms are insuciently verified to be robust to the broad range of hyperspectral data being made available. One such algorithm, AutoGAD, is tested here via two separate robust parameter design techniques to determine optimal parameters for consistent performance on a range of data with large attribute variances. Additionally, the results of the two techniques are compared for overall e ectiveness. The results of the test as well as optimal parameters for AutoGAD are presented and future research e orts proposed.
Lisätietoja
| Kirjoittaja | Matthew T. Davis |
|---|---|
| Julkaisija | Creative Media Partners, LLC |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781288229970 |