£159.99

Springer - Hyperspectral Imaging: Spectral Detection & Classification

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Description

Hyperspectral Imaging: Techniques for Spectral Detection and Classification offers a specialized look into the field of remote sensing. This text is the result of extensive research conducted at the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. Readers can explore the application of statistical signal processing to hyperspectral imaging through a practical lens. The book focuses on developing non-literal spectral techniques designed for subpixel detection and mixed pixel classification. It serves as a unique resource, functioning much like a recipe book that provides various techniques for the effective exploitation of hyperspectral data. This text is the first of its kind on the subject, making it a valuable addition to any professional or academic library focused on image processing and spectral detection.

Key Features

Based on long-term research from the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County.

Provides advanced methods for applying statistical signal processing to hyperspectral imaging data.

Offers specialized non-literal spectral techniques for subpixel detection and mixed pixel classification.

Functions as a practical recipe book for various hyperspectral data exploitation techniques.

Serves as a first-of-its-kind text for professionals and students studying spectral detection and classification.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 July 2003
Listed Since
07 February 2007

Barcode

No barcode data available

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