Soft decision-made hyperspectral measures for target discrimination and classification

Chao-Cheng Wu; Chein-I Chang

doi:10.1117/12.824530

17 August 2009 Soft decision-made hyperspectral measures for target discrimination and classification

Chao-Cheng Wu, Chein-I Chang

Proceedings Volume 7457, Imaging Spectrometry XIV; 74570S (2009) https://doi.org/10.1117/12.824530
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Many hyperspectral measures such as Spectral Angle Mapper (SAM), Euclidean Distance (ED), Spectral Information Divergence (SID) calculate values that can be used to measure the closeness between two hyperspectral signatures in terms of spectral similarity. When a hyperspectral measure is used for target discrimination or classification, a commonly used approach assigns a data sample to a spectral signature with the maximum spectral similarity or a class whose mean is most similar to its spectral signature. As a result, such a hyperspectral measure is called a hard decision hyperspectral measure and its performance is evaluated by its confusion matrix. This paper develops a new class of hyperspectral measures, called soft-decision hyperspectral measures which use the similarity value between a data sample and a target signature or a class as an indicator of the likelihood of the data sample assigned to this particular signature or class instead of signature or class map resulting from hard decisions. In order for a soft-decision to perform target discrimination or classification, the soft-decision hyperspectral measure-generated likelihood values are normalized to probabilities so that a threshold can be used to make hard decisions via a recently developed 3D ROC analysis. Experimental study demonstrates that these two approaches yield different results.

Citation Download Citation

Chao-Cheng Wu and Chein-I Chang "Soft decision-made hyperspectral measures for target discrimination and classification", Proc. SPIE 7457, Imaging Spectrometry XIV, 74570S (17 August 2009); https://doi.org/10.1117/12.824530

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