Paper
17 August 2009 Progressive band selection
Kevin Fisher, Chein-I Chang
Author Affiliations +
Abstract
Progressive band selection (PBS) reduces spectral redundancy without significant loss of information, thereby reducing hyperspectral image data volume and processing time. Used onboard a spacecraft, it can also reduce image downlink time. PBS prioritizes an image's spectral bands according to priority scores that measure their significance to a specific application. Then it uses one of three methods to select an appropriate number of the most useful bands. Key challenges for PBS include selecting an appropriate criterion to generate band priority scores, and determining how many bands should be retained in the reduced image. The image's Virtual Dimensionality (VD), once computed, is a reasonable estimate of the latter. We describe the major design details of PBS and test PBS in a land classification experiment.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kevin Fisher and Chein-I Chang "Progressive band selection", Proc. SPIE 7457, Imaging Spectrometry XIV, 745709 (17 August 2009); https://doi.org/10.1117/12.824531
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Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Control systems

Hyperspectral imaging

Image sensors

Image classification

Sensors

Space operations

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