Block truncation signature coding for hyperspectral analysis

Sumit Chakravarty; Chein-I Chang

doi:10.1117/12.796711

27 August 2008 Block truncation signature coding for hyperspectral analysis

Sumit Chakravarty, Chein-I Chang

Proceedings Volume 7086, Imaging Spectrometry XIII; 70860D (2008) https://doi.org/10.1117/12.796711
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

This paper introduces a new signature coding which is designed based on the well-known Block Truncation Coding (BTC). It comprises of bit-maps of the signature blocks generated by different threshold criteria. Two new BTC-based algorithms are developed for signature coding, to be called Block Truncation Signature Coding (BTSC) and 2-level BTSC (2BTSC). In order to compare the developed BTC based algorithms with current binary signature coding schemes such as Spectral Program Analysis Manager (SPAM) developed by Mazer et al. and Spectral Feature-based Binary Coding (SFBC) by Qian et al., three different thresholding functions, local block mean, local block gradient, local block correlation are derived to improve the BTSC performance where the combined bit-maps generated by these thresholds can provide better spectral signature characterization. Experimental results reveal that the new BTC-based signature coding performs more effectively in characterizing spectral variations than currently available binary signature coding methods.

Citation Download Citation

Sumit Chakravarty and Chein-I Chang "Block truncation signature coding for hyperspectral analysis", Proc. SPIE 7086, Imaging Spectrometry XIII, 70860D (27 August 2008); https://doi.org/10.1117/12.796711

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