Building robust neighborhoods for manifold learning-based image classification and anomaly detection

Timothy Doster; Colin C. Olson

doi:10.1117/12.2227224

25 May 2016 Building robust neighborhoods for manifold learning-based image classification and anomaly detection

Timothy Doster, Colin C. Olson

Proceedings Volume 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII; 984015 (2016) https://doi.org/10.1117/12.2227224
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

We exploit manifold learning algorithms to perform image classification and anomaly detection in complex scenes involving hyperspectral land cover and broadband IR maritime data. The results of standard manifold learning techniques are improved by including spatial information. This is accomplished by creating super-pixels which are robust to affine transformations inherent in natural scenes. We utilize techniques from harmonic analysis and image processing, namely, rotation, skew, flip, and shift operators to develop a more representational graph structure which defines the data-dependent manifold.

Citation Download Citation

Timothy Doster and Colin C. Olson "Building robust neighborhoods for manifold learning-based image classification and anomaly detection", Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 984015 (25 May 2016); https://doi.org/10.1117/12.2227224

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available