Hyperspectral information efficiency and pattern classification

Stephen E Reichenbach, Ram M. Narayanan

Research output: Contribution to journalConference article

Abstract

This paper explores the relationship between information efficiency and pattern classification in hyperspectral imaging systems. Hyperspectral imaging is a powerful tool for many applications, including pattern classification for scene analysis. However, hyperspectral imaging can generate data at rates that challenge communication, processing, and storage capacities. System designs with fewer spectral bands have lower data overhead, but also may have reduced performance, including diminished capability to classify spectral patterns. This paper presents an analytic approach for assessing the capacity of a hyperspectral system for gathering information related to classification and the system's efficiency in that capacity. Our earlier work developed approaches for analyzing information capacity and efficiency in hyperspectral systems with either uniform or non-uniform spectral-band widths. This paper presents a model-based approach for relating information capacity and efficiency to pattern classification in hyperspectral imaging. The analysis uses a model of the scene signal for different classes and a model of the hyperspectral imaging process. Based on these models, the analysis quantifies information capacity and information efficiency for designs with various spectral-band widths. Example results of this analysis illustrate the relationship between information capacity, information efficiency, and classification.

Original languageEnglish (US)
Pages (from-to)83-91
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4736
DOIs
StatePublished - Jan 1 2002
EventVisual Information Processing XI - Orlando, FL, United States
Duration: Apr 4 2002Apr 4 2002

Fingerprint

Pattern Classification
Hyperspectral Imaging
Pattern recognition
Information Capacity
Channel capacity
spectral bands
Bandwidth
Scene Analysis
scene analysis
information analysis
bandwidth
Storage Capacity
Imaging System
Imaging systems
System Design
systems engineering
Quantify
Systems analysis
Classify
Hyperspectral imaging

Keywords

  • Hyperspectral imaging systems
  • Information theory
  • Pattern classification

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Hyperspectral information efficiency and pattern classification. / Reichenbach, Stephen E; Narayanan, Ram M.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 4736, 01.01.2002, p. 83-91.

Research output: Contribution to journalConference article

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