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Engineering - Signals & Communication | Real Time Hyperspectral Image Processing - Algorithm Architecture and Implementation

Real Time Hyperspectral Image Processing

Algorithm Architecture and Implementation

Chang, Chein-I

2015, Approx. 490 p.

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  • Covers new research in the field of hyperspectral imaging including FPGS design, processes for finding endmembers, and progressive band processing
  • Develops two new theories for progressive hyperspectral imaging, sample-wise progressive hyperspectral imaging, and band-wise progressive hyperspectral imaging
  • Focuses on causal and real-time hyperspectral imaging

This book  focuses on architecture and implementation of algorithms, specifically on their real-time and causal processing implementation, architectures of FPGA design and parallel processing. It concludes with applications to multispectral imaging and medical imaging. All these topics have great potential in and impact on hyperspectral data communications and hardware implementation.

Content Level » Research

Keywords » Causal hyperspectral image processing - Hyperspectral data analysis - Hyperspectral imaging - Progressive hyperspectral image processing - Real-time hyperspectral image processing

Related subjects » Image Processing - Signals & Communication

Table of contents 

PRELIMINARIES.- Overview and Introduction.- Virtual Dimensionality for Hyperspectral Imagery.- Linear Spectra: Mixture Analysis.- Endmember Extraction.- SEQUENTIAL ENDMEMBER EXTRACTION.- Abundance-Unconstrained Sequential Endmember Extraction: Orthogonal Projection.- Fully Abundance-Constrained Sequential Endmember Extraction: Simplex Volume Analysis.- Partially Abundance Non-Negativity-Constrained Sequential Endmember Extraction: Convex Cone Volume Analysis.- Fully Abundance-Constrained Sequential Linear Spectral Mixture Analysis.- PROGRESSIVE ENDMEMBER EXTRACTION.- Abundance-Unconstrained Progressive Endmember Extraction Orthogonal Projection.- Fully Abundance-Constrained Progressive Endmember Extraction: Simplex Volume Analysis.- Partially Abundance Non-Negativity -Constrained Progressive Endmember Extraction: Convex Cone Volume Analysis.- Fully Abundance-Constrained Progressive Linear Spectral MixtureAnalysis.- PROGRESSIVE UNSUPERVISED TARGET DETECTION.- Anomaly Detection.- AdaptiveAnomaly Detection.- Window-Based Anomaly Detection.- Subpixel Target Detection and Classification.- PROGRESSIVE BAND PROCESSING.- Progressive Band Selection of LSMA.- Progressive Band Processing of Endmember Extraction.- Progressive Band Processing of Target Detection.- Progressive Band Processing of Signal Coding.- FIELD PROGRAMMABLE GATE ARRAYS (FPGA) DESIGN.- FPGA Design for PPI.- FPGA Design for N-Finder and SGA.- FPGA Design for Subpixel Detection.- FPGA Design for Orthogonal Subspace Projection (OSP).- Conclusions.

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